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ORCIDPabitra Mitra
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- affiliation: Indian Statistical Institute, India
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Books and Theses
- 2016
[b1]Virinchi Srinivas, Pabitra Mitra:
Link Prediction in Social Networks - Role of Power Law Distribution. Springer Briefs in Computer Science, Springer 2016, ISBN 978-3-319-28921-2, pp. 1-64
Journal Articles
- 2024
- [j66]Meghashrita Das, Arundhuti Naskar, Pabitra Mitra, Biswajit Basu:
Shallow quantum neural networks (SQNNs) with application to crack identification. Appl. Intell. 54(2): 1247-1262 (2024) - [j65]Rupshali Dasgupta, Meghabriti Pramanik, Pabitra Mitra, Dipanwita Roy Chowdhury:
Intrusion detection for power grid: a review. Int. J. Inf. Sec. 23(2): 1317-1329 (2024) - [j64]Vasudha Joshi, Pabitra Mitra, Supratik Bose:
Multi-modal multi-head self-attention for medical VQA. Multim. Tools Appl. 83(14): 42585-42608 (2024) - [j63]Rajesh K. Ahir
, Basab Chakraborty, Pabitra Mitra:
Informed Change-Point Detection Approach for Solar Prosumer Detection and Statistical Verification in Smart Grid. IEEE Trans. Smart Grid 15(1): 987-998 (2024) - 2023
- [j62]S. R. Sreeja, Shathanaa Rajmohan, Manjit Singh Sodhi, Debasis Samanta, Pabitra Mitra:
Dictionary Learning and Greedy Algorithms for Removing Eye Blink Artifacts from EEG Signals. Circuits Syst. Signal Process. 42(9): 5663-5683 (2023) - [j61]P. Sudhakar, K. Sreenivasa Rao, Pabitra Mitra:
Unsupervised spoken term discovery using pseudo lexical induction. Int. J. Speech Technol. 26(3): 801-816 (2023) - [j60]Manashi Chakraborty, Aritri Chakraborty, Prabir Kumar Biswas, Pabitra Mitra:
Texture aware autoencoder pre-training and pairwise learning refinement for improved iris recognition. Multim. Tools Appl. 82(16): 25381-25401 (2023) - [j59]P. Sudhakar, K. Sreenivasa Rao, Pabitra Mitra:
A Novel Zero-Resource Spoken Term Detection Using Affinity Kernel Propagation with Acoustic Feature Map. SN Comput. Sci. 4(3): 310 (2023) - [j58]Shubhi Shukla, Manaar Alam, Sarani Bhattacharya, Pabitra Mitra, Debdeep Mukhopadhyay:
"Whispering MLaaS" Exploiting Timing Channels to Compromise User Privacy in Deep Neural Networks. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2023(2): 587-613 (2023) - [j57]Sourav Biswas, Aman Bansal, Pabitra Mitra, Rajib Mall:
Fault-Based Regression Test Case Prioritization. IEEE Trans. Reliab. 72(3): 1176-1190 (2023) - 2022
- [j56]Yagnavajjula Madhu Keerthana, K. Sreenivasa Rao, Pabitra Mitra:
Dysarthric speech detection from telephone quality speech using epoch-based pitch perturbation features. Int. J. Speech Technol. 25(4): 967-973 (2022) - [j55]Monidipa Das, Soumya K. Ghosh, Vemuri M. Chowdary, Pabitra Mitra, Santosh Rijal:
Statistical and Machine Learning Models for Remote Sensing Data Mining - Recent Advancements. Remote. Sens. 14(8): 1906 (2022) - [j54]Sourav Biswas, Raghav Rathi, Arpita Dutta, Pabitra Mitra, Rajib Mall:
A regression test case prioritization technique targeting 'hard to detect' faults. Int. J. Syst. Assur. Eng. Manag. 13(3): 1066-1081 (2022) - [j53]Anima Pramanik, Sankar K. Pal, Jhareswar Maiti, Pabitra Mitra:
Granulated RCNN and Multi-Class Deep SORT for Multi-Object Detection and Tracking. IEEE Trans. Emerg. Top. Comput. Intell. 6(1): 171-181 (2022) - [j52]Anima Pramanik, Sankar Kumar Pal, Jhareswar Maiti, Pabitra Mitra:
Traffic Anomaly Detection and Video Summarization Using Spatio-Temporal Rough Fuzzy Granulation With Z-Numbers. IEEE Trans. Intell. Transp. Syst. 23(12): 24116-24125 (2022) - 2021
- [j51]Hareesh Mandalapu, Aravinda Reddy P. N, Raghavendra Ramachandra, Krothapalli Sreenivasa Rao, Pabitra Mitra, S. R. Mahadeva Prasanna, Christoph Busch:
Audio-Visual Biometric Recognition and Presentation Attack Detection: A Comprehensive Survey. IEEE Access 9: 37431-37455 (2021) - [j50]Hareesh Mandalapu, Aravinda Reddy P. N, Raghavendra Ramachandra, Krothapalli Sreenivasa Rao, Pabitra Mitra, S. R. Mahadeva Prasanna, Christoph Busch:
Multilingual Audio-Visual Smartphone Dataset and Evaluation. IEEE Access 9: 153240-153257 (2021) - [j49]Sankar K. Pal, Anima Pramanik, Jhareswar Maiti, Pabitra Mitra:
Deep learning in multi-object detection and tracking: state of the art. Appl. Intell. 51(9): 6400-6429 (2021) - [j48]Anima Pramanik, Sobhan Sarkar, Jhareswar Maiti, Pabitra Mitra:
RT-GSOM: Rough tolerance growing self-organizing map. Inf. Sci. 566: 19-37 (2021) - [j47]Saikat Biswas, Pabitra Mitra, Krothapalli Sreenivasa Rao:
Relation Prediction of Co-Morbid Diseases Using Knowledge Graph Completion. IEEE ACM Trans. Comput. Biol. Bioinform. 18(2): 708-717 (2021) - 2020
- [j46]Biswajit Biswas, Swarup Kr Ghosh, Anupam Ghosh, Chandan Chakraborty, Pabitra Mitra:
Target Object Recognition Using Multiresolution SVD and Guided Filter with Convolutional Neural Network. Int. J. Pattern Recognit. Artif. Intell. 34(12): 2052008:1-2052008:26 (2020) - [j45]Arpita Dutta, Richa Manral, Pabitra Mitra, Rajib Mall:
Hierarchically Localizing Software Faults Using DNN. IEEE Trans. Reliab. 69(4): 1267-1292 (2020) - 2019
- [j44]Meghabriti Pramanik, Aurobinda Routray, Pabitra Mitra:
Accurate Real-Time Estimation of Power System Transients Using Constrained Symmetric Strong Tracking Square-Root Cubature Kalman Filter. IEEE Access 7: 165692-165709 (2019) - [j43]Sobhan Sarkar, Sammangi Vinay, Rahul Raj, Jhareswar Maiti, Pabitra Mitra:
Application of optimized machine learning techniques for prediction of occupational accidents. Comput. Oper. Res. 106: 210-224 (2019) - [j42]T. Ramalingeswara Rao, Pabitra Mitra, Ravindara Bhatt, Adrijit Goswami:
The big data system, components, tools, and technologies: a survey. Knowl. Inf. Syst. 60(3): 1165-1245 (2019) - [j41]Debarghya China, Alfredo Illanes, Prabal Poudel, Michael Friebe, Pabitra Mitra, Debdoot Sheet:
Anatomical Structure Segmentation in Ultrasound Volumes Using Cross Frame Belief Propagating Iterative Random Walks. IEEE J. Biomed. Health Informatics 23(3): 1110-1118 (2019) - 2018
- [j40]Anushree Basu, Anirban Dasgupta, Anirud Thyagharajan, Aurobinda Routray, Rajlakshmi Guha, Pabitra Mitra:
A Portable Personality Recognizer Based on Affective State Classification Using Spectral Fusion of Features. IEEE Trans. Affect. Comput. 9(3): 330-342 (2018) - [j39]Omprakash Chakraborty, Arup Das, Arindam Dasgupta, Pabitra Mitra, Soumya K. Ghosh, Taraknath Mazumder:
A multi-objective framework for analysis of road network vulnerability for relief facility location during flood hazards: A case study of relief location analysis in Bankura District, India. Trans. GIS 22(5): 1064-1082 (2018) - [j38]S. R. Sreeja, Rajiv Ranjan Sahay, Debasis Samanta, Pabitra Mitra:
Removal of Eye Blink Artifacts From EEG Signals Using Sparsity. IEEE J. Biomed. Health Informatics 22(5): 1362-1372 (2018) - 2017
- [j37]Devkumar Das, Pabitra Mitra, Chandan Chakraborty, Sanjoy Chatterjee, Asok Kumar Maiti, Surajit Bose:
Computational approach for mitotic cell detection and its application in oral squamous cell carcinoma. Multidimens. Syst. Signal Process. 28(3): 1031-1050 (2017) - [j36]Anirban Ghose, Lokesh Dokara, Soumyajit Dey, Pabitra Mitra:
A Framework for OpenCL Task Scheduling on Heterogeneous Multicores. Parallel Process. Lett. 27(3-4): 1750008:1-1750008:32 (2017) - [j35]Anirban Santara, Kaustubh Mani, Pranoot Hatwar, Ankit Singh, Ankur Garg, Kirti Padia, Pabitra Mitra:
BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification. IEEE Trans. Geosci. Remote. Sens. 55(9): 5293-5301 (2017) - 2016
- [j34]Subhranil Koley, Anup K. Sadhu, Pabitra Mitra, Basabi Chakraborty, Chandan Chakraborty:
Delineation and diagnosis of brain tumors from post contrast T1-weighted MR images using rough granular computing and random forest. Appl. Soft Comput. 41: 453-465 (2016) - [j33]Souradeep Chakraborty, Pabitra Mitra:
A dense subgraph based algorithm for compact salient image region detection. Comput. Vis. Image Underst. 145: 1-14 (2016) - [j32]Maunendra Sankar Desarkar, Sudeshna Sarkar, Pabitra Mitra:
Preference relations based unsupervised rank aggregation for metasearch. Expert Syst. Appl. 49: 86-98 (2016) - 2015
- [j31]Souradeep Chakraborty, Pabitra Mitra:
A site entropy rate and degree centrality based algorithm for image co-segmentation. J. Vis. Commun. Image Represent. 33: 20-30 (2015) - [j30]Tripti Swarnkar, Sérgio Nery Simões, Anji Anurak, Helena Paula Brentani, Jyotirmoy Chatterjee, Ronaldo Fumio Hashimoto, David Correa Martins, Pabitra Mitra:
Identifying dense subgraphs in protein-protein interaction network for gene selection from microarray data. Netw. Model. Anal. Health Informatics Bioinform. 4(1): 33 (2015) - 2014
- [j29]Anupam Mandal, K. R. Prasanna Kumar, Pabitra Mitra:
Recent developments in spoken term detection: a survey. Int. J. Speech Technol. 17(2): 183-198 (2014) - [j28]Sanghamitra Bandyopadhyay, Tapas Bhadra, Pabitra Mitra, Ujjwal Maulik:
Integration of dense subgraph finding with feature clustering for unsupervised feature selection. Pattern Recognit. Lett. 40: 104-112 (2014) - [j27]Shrutilipi Bhattacharjee, Pabitra Mitra, Soumya K. Ghosh:
Spatial Interpolation to Predict Missing Attributes in GIS Using Semantic Kriging. IEEE Trans. Geosci. Remote. Sens. 52(8): 4771-4780 (2014) - 2013
- [j26]Biswajit Das, Sandipan Mandal, Pabitra Mitra, Anupam Basu:
Effect of aging on speech features and phoneme recognition: a study on Bengali voicing vowels. Int. J. Speech Technol. 16(1): 19-31 (2013) - [j25]Biswajit Das, Sandipan Mandal, Pabitra Mitra, Anupam Basu:
Aging speech recognition with speaker adaptation techniques: Study on medium vocabulary continuous Bengali speech. Pattern Recognit. Lett. 34(3): 335-343 (2013) - 2012
- [j24]Sujan Kumar Saha, Pabitra Mitra, Sudeshna Sarkar:
A comparative study on feature reduction approaches in Hindi and Bengali named entity recognition. Knowl. Based Syst. 27: 322-332 (2012) - [j23]Suprabhat Das, Shibabroto Banerjee, Pabitra Mitra:
Anwesan: A Search Engine for Bengali Literary Works. World Digit. Libr. 5(1): 11-18 (2012) - 2010
- [j22]Plaban Kumar Bhowmick, Pabitra Mitra, Anupam Basu:
Do We Agree? Measuring Agreement on the Human judgments in Emotion Annotation of News Sentences. Cybern. Syst. 41(7): 469-488 (2010) - [j21]Tirthankar Dasgupta, Anupam Basu, Plaban Kumar Bhowmick, Pabitra Mitra:
A Framework for the Automatic Generation of Indian Sign Language. J. Intell. Syst. 19(2): 125-144 (2010) - [j20]Sujan Kumar Saha, Shashi Narayan, Sudeshna Sarkar, Pabitra Mitra:
A composite kernel for named entity recognition. Pattern Recognit. Lett. 31(12): 1591-1597 (2010) - 2009
- [j19]Sujan Kumar Saha, Sudeshna Sarkar, Pabitra Mitra:
Feature selection techniques for maximum entropy based biomedical named entity recognition. J. Biomed. Informatics 42(5): 905-911 (2009) - 2008
- [j18]Sujan Kumar Saha, Parthasarathi Ghosh, Sudeshna Sarkar, Pabitra Mitra:
Named Entity Recognition in Hindi using Maximum Entropy and Transliteration. Polibits 38: 33-41 (2008) - 2007
- [j17]Karm Veer Arya, Phalguni Gupta, Prem Kumar Kalra, Pabitra Mitra:
Image registration using robust M-estimators. Pattern Recognit. Lett. 28(15): 1957-1968 (2007) - [j16]Prasenjit Majumder, Mandar Mitra, Swapan K. Parui, Gobinda Kole, Pabitra Mitra, Kalyankumar Datta:
YASS: Yet another suffix stripper. ACM Trans. Inf. Syst. 25(4): 18 (2007) - 2005
- [j15]Sankar K. Pal, B. Uma Shankar, Pabitra Mitra:
Granular computing, rough entropy and object extraction. Pattern Recognit. Lett. 26(16): 2509-2517 (2005) - 2004
- [j14]Sankar K. Pal, Biswarup Dasgupta, Pabitra Mitra:
Rough Self Organizing Map. Appl. Intell. 21(3): 289-299 (2004) - [j13]Pabitra Mitra, C. A. Murthy, Sankar K. Pal:
A Probabilistic Active Support Vector Learning Algorithm. IEEE Trans. Pattern Anal. Mach. Intell. 26(3): 413-418 (2004) - [j12]Pabitra Mitra, B. Uma Shankar, Sankar K. Pal:
Segmentation of multispectral remote sensing images using active support vector machines. Pattern Recognit. Lett. 25(9): 1067-1074 (2004) - [j11]Sankar K. Pal, Pabitra Mitra:
Case Generation Using Rough Sets with Fuzzy Representation. IEEE Trans. Knowl. Data Eng. 16(3): 292-300 (2004) - 2003
- [j10]Pabitra Mitra, Sankar K. Pal, Md Aleemuddin Siddiqi:
Non-convex clustering using expectation maximization algorithm with rough set initialization. Pattern Recognit. Lett. 24(6): 863-873 (2003) - [j9]Sankar K. Pal, Sushmita Mitra, Pabitra Mitra:
Rough-Fuzzy MLP: Modular Evolution, Rule Generation, and Evaluation. IEEE Trans. Knowl. Data Eng. 15(1): 14-25 (2003) - 2002
- [j8]Pabitra Mitra, C. A. Murthy, Sankar K. Pal:
Unsupervised Feature Selection Using Feature Similarity. IEEE Trans. Pattern Anal. Mach. Intell. 24(3): 301-312 (2002) - [j7]Pabitra Mitra, C. A. Murthy, Sankar K. Pal:
Density-Based Multiscale Data Condensation. IEEE Trans. Pattern Anal. Mach. Intell. 24(6): 734-747 (2002) - [j6]Sankar K. Pal, Pabitra Mitra:
Multispectral image segmentation using the rough-set-initialized EM algorithm. IEEE Trans. Geosci. Remote. Sens. 40(11): 2495-2501 (2002) - [j5]Sushmita Mitra, Sankar K. Pal, Pabitra Mitra:
Data mining in soft computing framework: a survey. IEEE Trans. Neural Networks 13(1): 3-14 (2002) - [j4]Sankar K. Pal, Varun Talwar, Pabitra Mitra:
Web mining in soft computing framework: relevance, state of the art and future directions. IEEE Trans. Neural Networks 13(5): 1163-1177 (2002) - 2001
- [j3]Sushmita Mitra, Pabitra Mitra, Sankar K. Pal:
Evolutionary modular design of rough knowledge-based network using fuzzy attributes. Neurocomputing 36(1-4): 45-66 (2001) - [j2]Pabitra Mitra, Sushmita Mitra, Sankar K. Pal:
Evolutionary Modular MLP with Rough Sets and ID3 Algorithm for Staging of Cervical Cancer. Neural Comput. Appl. 10(1): 67-76 (2001) - 2000
- [j1]Pabitra Mitra, Sushmita Mitra, Sankar K. Pal:
Staging of cervical cancer with soft computing. IEEE Trans. Biomed. Eng. 47(7): 934-940 (2000)
Conference and Workshop Papers
- 2023
- [c123]Dipannita Podder, Jiaul H. Paik, Pabitra Mitra:
Neural Language Model Based Attentive Term Dependence Model for Verbose Query (Student Abstract). AAAI 2023: 16300-16301 - [c122]Anirban Lahiri, Shivam Raj, Utanko Mitra, Sunreeta Sen, Rajlakshmi Guha, Pabitra Mitra, Partha Pratim Chakraborty, Anupam Basu:
Automated Deep Learning Based Answer Generation to Psychometric Questionnaire: Mimicking Personality Traits. ICAART (3) 2023: 737-743 - [c121]Saikat Biswas, Koushiki Dasgupta Chaudhuri, Pabitra Mitra, Krothapalli Sreenivasa Rao:
Relation Predictions in Comorbid Disease Centric Knowledge Graph Using Heterogeneous GNN Models. IWBBIO (2) 2023: 343-356 - [c120]P. Sudhakar, K. Sreenivasa Rao, Pabitra Mitra:
Unsupervised Discovery of Recurring Spoken Terms Using Diagonal Patterns. PReMI 2023: 61-69 - [c119]Anushree Basu, Anirban Dasgupta, Aurobinda Routray, Pabitra Mitra:
FVINet: Translating Thermograms to Facial Vasculature Imprints. PReMI 2023: 783-790 - 2022
- [c118]Bithika Pal, Arindam Biswas, Sudeshna Kolay, Pabitra Mitra, Biswajit Basu:
A Study on the Ramanujan Graph Property of Winning Lottery Tickets. ICML 2022: 17186-17201 - [c117]Priyanka Sinha, Ritu Patel, Pabitra Mitra, Dilys Thomas, Lipika Dey:
Mining Homophilic Groups of Users using Edge Attributed Node Embedding from Enterprise Social Networks. WWW (Companion Volume) 2022: 1139-1147 - 2021
- [c116]Tianjian Huang, Prajwal Singhania, Maziar Sanjabi, Pabitra Mitra, Meisam Razaviyayn:
Alternating Direction Method of Multipliers for Quantization. AISTATS 2021: 208-216 - [c115]Manish Chandra, Debasis Ganguly, Pabitra Mitra, Bithika Pal, James Thomas:
NIP-GCN: An Augmented Graph Convolutional Network with Node Interaction Patterns. SIGIR 2021: 2242-2246 - [c114]Vaibhav Lodhi, Arindam Biswas, Debashish Chakravarty, Pabitra Mitra:
A Study of Deep Learning Approaches and Loss Functions for Abundance Fractions Estimation. WHISPERS 2021: 1-5 - 2020
- [c113]Anirban Santara, Rishabh Madan, Pabitra Mitra, Balaraman Ravindran:
ExTra: Transfer-guided Exploration. AAMAS 2020: 1987-1989 - [c112]Anirban Lahiri, Utanko Mitra, Sunreeta Sen, Mreenal Chakraborty, Max Kleiman-Weiner, Rajlakshmi Guha, Pabitra Mitra, Anupam Basu, Partha Pratim Chakraborty:
Antarjami: Exploring psychometric evaluation through a computer-based game. CogSci 2020 - [c111]Avisek Lahiri, Arnav Kumar Jain, Sanskar Agrawal, Pabitra Mitra, Prabir Kumar Biswas:
Prior Guided GAN Based Semantic Inpainting. CVPR 2020: 13693-13702 - [c110]Manashi Chakraborty, Mayukh Roy, Prabir Kumar Biswas, Pabitra Mitra:
Unsupervised Pre-Trained, Texture Aware and Lightweight Model for Deep Learning Based Iris Recognition Under Limited Annotated Data. ICIP 2020: 1351-1355 - [c109]Abhijit Mukherjee, Pabitra Mitra:
Joint Learning for Cyclone Track Nowcasting. MACLEAN@PKDD/ECML 2020 - [c108]Priyanka Sinha, Lipika Dey, Pabitra Mitra, Dilys Thomas:
A Hierarchical Clustering Algorithm for Characterizing Social Media Users. WWW (Companion Volume) 2020: 353-362 - 2019
- [c107]Saicharan Viswanath, Moumita Saha, Pabitra Mitra, Ravi S. Nanjundiah:
Deep Learning Based LSTM and SeqToSeq Models to Detect Monsoon Spells of India. ICCS (2) 2019: 204-218 - [c106]Meghabriti Pramanik, Aurobinda Routray, Pabitra Mitra:
Orthogonal Matching Pursuit and K-SVD for Recovery of Sparse Power System Harmonics with the Cubature Kalman Filter. IECON 2019: 2215-2220 - [c105]Kousik Biswas, Debashish Chakravarty, Pabitra Mitra, Arundhati Misra:
Estimation of Ground Deformation Using Psinsar with L-Band Alos Palsar Data: A Case Study of Kolkata, India. IGARSS 2019: 2119-2122 - [c104]Atif Hassan, Rohini Banerjee, Pabitra Mitra, Pralay Mitra:
Cluster-Based Relative Outlier Under-Sampling Technique. ICDM 2019: 229-241 - [c103]Debarghya China, Francis Tom, Sumanth Nandamuri, Aupendu Kar, Mukundhan Srinivasan, Pabitra Mitra, Debdoot Sheet:
Ultracompression: Framework For High Density Compression Of Ultrasound Volumes Using Physics Modeling Deep Neural Networks. ISBI 2019: 798-801 - [c102]Sumanth Nandamuri, Debarghya China, Pabitra Mitra, Debdoot Sheet:
SUMNet: Fully Convolutional Model For Fast Segmentation of Anatomical Structures in Ultrasound Volumes. ISBI 2019: 1729-1732 - [c101]Arpita Dutta, Rohit Sahay, Pabitra Mitra, Rajib Mall:
Predicate Proximity in Failure: An MLP based Fault Localization approach. TENCON 2019: 936-941 - [c100]Avisek Lahiri, Sri Charan Ragireddy, Prabir Kumar Biswas, Pabitra Mitra:
Unsupervised Adversarial Visual Level Domain Adaptation for Learning Video Object Detectors From Images. WACV 2019: 1807-1815 - 2018
- [c99]Malay Pramanick, Ashim Gupta, Pabitra Mitra:
An LSTM-CRF Based Approach to Token-Level Metaphor Detection. Fig-Lang@NAACL-HLT 2018: 67-75 - [c98]Malay Pramanick, Pabitra Mitra:
Unsupervised Detection of Metaphorical Adjective-Noun Pairs. Fig-Lang@NAACL-HLT 2018: 76-80 - [c97]Kadambari Sai Kiran, Anupam Mandal, K. R. Prasanna Kumar, Pabitra Mitra, S. Veni:
A Comparative Study of Dictionary Learning Algorithms on Speech Recognition Task. ICACCI 2018: 588-594 - [c96]Omprakash Chakraborty, V. Yeshwanth, Pabitra Mitra, Soumya K. Ghosh:
Multi-objective Based Road-Link Grading for Health-Care Access During Flood Hazard Management. ICCSA (1) 2018: 277-293 - [c95]Arindam Dasgupta, Soumya K. Ghosh, Pabitra Mitra:
A Technique for Assessing the Quality of Volunteered Geographic Information for Disaster Decision Making. ICCSA (1) 2018: 589-597 - [c94]Tharun Mohandoss, Sourav Pal, Pabitra Mitra:
Visual attention for behavioral cloning in autonomous driving. ICMV 2018: 110411E - [c93]Meghabriti Pramanik, Agnimesh Ghosh, Aurobinda Routray, Pabitra Mitra:
Harmonics Estimation of a Noisy Power System Signal Using Cubature Kalman Filter. IECON 2018: 170-175 - [c92]Kousik Biswas, Debashish Chakravarty, Pabitra Mitra, Arundhati Misra:
Spatial Correlation Based Psinsar Technique to Estimate Ground Deformation in las Vegas Region, Us. IGARSS 2018: 2251-2254 - [c91]Vaibhav Lodhi, Debashish Chakravarty, Pabitra Mitra:
A Novel Supervised Linear Spectral Unmixing Model Constrained Pso Approach for Abundance Estimation. IGARSS 2018: 2713-2716 - [c90]T. Ramalingeswara Rao, Pabitra Mitra, Adrijit Goswami:
The Taxonomy of Distributed Graph Analytics. SNAMS 2018: 315-322 - 2017
- [c89]Jeenu Grover, Pabitra Mitra:
Bilingual Word Embeddings with Bucketed CNN for Parallel Sentence Extraction. ACL (Student Research Workshop) 2017: 11-16 - [c88]Jeenu Grover, Pabitra Mitra:
Sentence Alignment using Unfolding Recursive Autoencoders. BUCC@ACL 2017: 16-20 - [c87]Somosmita Mitra, Pabitra Mitra:
Intelligent Generation of Flavor Preserving Alternative Recipes for Individuals with Dietary Restrictions. CICBA (2) 2017: 531-539 - [c86]Prabir Mallick, Sudeshna Sarkar, Pabitra Mitra:
Decision recommendation system for transporters in an online freight exchange platform. COMSNETS 2017: 448-453 - [c85]Avisek Lahiri, Kumar Ayush, Prabir Kumar Biswas, Pabitra Mitra:
Generative Adversarial Learning for Reducing Manual Annotation in Semantic Segmentation on Large Scale Miscroscopy Images: Automated Vessel Segmentation in Retinal Fundus Image as Test Case. CVPR Workshops 2017: 794-800 - [c84]Arnav Kumar Jain, Abhinav Agarwalla, Kumar Krishna Agrawal, Pabitra Mitra:
Recurrent Memory Addressing for Describing Videos. CVPR Workshops 2017: 2200-2207 - [c83]Anupam Mandal, K. R. Prasanna Kumar, Pabitra Mitra:
Robust representation and efficient matching of spoken word templates. ICAPR 2017: 1-6 - [c82]Moumita Saha, Pabitra Mitra, Ravi S. Nanjundiah:
Prediction of Active and Break Spells of Indian Summer Monsoon Using Linear Discriminant Analysis. ICAPR 2017: 1-6 - [c81]Sonam Singh, Sudeshna Sarkar, Pabitra Mitra:
A deep learning based approach with adversarial regularization for Doppler weather radar ECHO prediction. IGARSS 2017: 5205-5208 - [c80]S. R. Sreeja, Joytirmoy Rabha, Debasis Samanta, Pabitra Mitra, Monalisa Sarma:
Classification of Motor Imagery Based EEG Signals Using Sparsity Approach. IHCI 2017: 47-59 - [c79]Sonam Singh, Sudeshna Sarkar, Pabitra Mitra:
Leveraging Convolutions in Recurrent Neural Networks for Doppler Weather Radar Echo Prediction. ISNN (2) 2017: 310-317 - [c78]Anupam Mandal, K. R. Prasanna Kumar, Pabitra Mitra:
Point Process Modeling of Spectral Peaks for Low Resource Robust Speech Recognition. MIKE 2017: 221-230 - [c77]Malay Pramanick, Pabitra Mitra:
A Metaphor Detection Approach Using Cosine Similarity. PReMI 2017: 358-364 - 2016
- [c76]Vardaan Pahuja, Ritwik Kumar Layek, Pabitra Mitra:
Learning a Probabilistic Boolean Network model from biological pathways and time-series expression data. EMBC 2016: 1471-1475 - [c75]Debarghya China, Manas K. Nag, K. M. Mandana, Anup K. Sadhu, Pabitra Mitra, Chandan Chakraborty:
Automated in vivo delineation of lumen wall using intravascular ultrasound imaging. EMBC 2016: 4125-4128 - [c74]Moumita Saha, Pabitra Mitra, Ravi S. Nanjundiah:
Predictor Discovery for Early-late Indian Summer Monsoon Using Stacked Autoencoder. ICCS 2016: 565-576 - [c73]Omprakash Chakraborty, Jaydeep Das, Arindam Dasgupta, Pabitra Mitra, Soumya K. Ghosh:
A Geospatial Service Oriented Framework for Disaster Risk Zone Identification. ICCSA (3) 2016: 44-56 - [c72]Debarghya China, Pabitra Mitra, Debdoot Sheet:
Segmentation of Lumen and External Elastic Laminae in Intravascular Ultrasound Images Using Ultrasonic Backscattering Physics Initialized Multiscale Random Walks. ICVGIP Workshops 2016: 393-403 - [c71]S. R. Sreeja, Vaidic Joshi, Shabnam Samima, Anushri Saha, Joytirmoy Rabha, Baljeet Singh Cheema, Debasis Samanta, Pabitra Mitra:
BCI Augmented Text Entry Mechanism for People with Special Needs. IHCI 2016: 81-93 - [c70]Moumita Saha, Pabitra Mitra:
Recurrent neural network based prediction of indian summer monsoon using global climatic predictors. IJCNN 2016: 1523-1529 - [c69]Sulagna Gope, Sudeshna Sarkar, Pabitra Mitra, Subimal Ghosh:
Early Prediction of Extreme Rainfall Events: A Deep Learning Approach. ICDM 2016: 154-167 - [c68]Russel Aziz, Manav Kedia, Soham Dan, Sayantan Basu, Sudeshna Sarkar, Sudeshna Mitra, Pabitra Mitra:
Identifying and Characterizing Truck Stops from GPS Data. ICDM 2016: 168-182 - [c67]Anirban Ghose, Soumyajit Dey, Pabitra Mitra, Mainak Chaudhuri:
Divergence Aware Automated Partitioning of OpenCL Workloads. ISEC 2016: 131-135 - [c66]Suvodip Dey, Pabitra Mitra, Kratika Gupta:
Recommending Repeat Purchases using Product Segment Statistics. RecSys 2016: 357-360 - 2015
- [c65]Arup Choudhury, Shrey Sharma, Pabitra Mitra, Cyril Sebastian, Shrikant S. Naidu, Muthusamy Chelliah:
SimCat: an entity similarity measure for heterogeneous knowledge graph with categories. CODS 2015: 112-113 - [c64]Debapriya Maji, Anirban Santara, Sambuddha Ghosh, Debdoot Sheet, Pabitra Mitra:
Deep neural network and random forest hybrid architecture for learning to detect retinal vessels in fundus images. EMBC 2015: 3029-3032 - [c63]Arindam Dasgupta, Soumya K. Ghosh, Pabitra Mitra:
A mobile volunteered geographic information management platform for rural health informatics. HealthCom 2015: 381-384 - [c62]Debarghya China, Pabitra Mitra, Chandan Chakraborty, K. M. Mandana:
Wavelet based non local means filter for despeckling of intravascular ultrasound image. ICACCI 2015: 1361-1365 - [c61]Moumita Saha, Pabitra Mitra:
Co-Clustering Based Approach for Indian Monsoon Prediction. ICCS 2015: 2938-2942 - [c60]Russel Aziz, Manav Kedia, Soham Dan, Sudeshna Sarkar, Sudeshna Mitra, Pabitra Mitra:
Segmenting Highway Network Based on Speed Profiles. ITSC 2015: 2927-2932 - [c59]Moumita Saha, Pabitra Mitra:
Climate Network Based Index Discovery for Prediction of Indian Monsoon. PReMI 2015: 554-564 - [c58]Priyanka Sinha, Lipika Dey, Pabitra Mitra, Anupam Basu:
Mining HEXACO personality traits from Enterprise Social Media. WASSA@EMNLP 2015: 140-147 - 2014
- [c57]Tripti Swarnkar, Sérgio Nery Simões, David Correa Martins, Anji Anurak, Helena Paula Brentani, Ronaldo Fumio Hashimoto, Pabitra Mitra:
Multiview Clustering on PPI Network for Gene Selection and Enrichment from Microarray Data. BIBE 2014: 15-22 - [c56]Moumita Saha, Pabitra Mitra:
VLGAAC: Variable Length Genetic Algorithm Based Alternative Clustering. ICONIP (2) 2014: 194-202 - [c55]Srinivas Virinchi, Pabitra Mitra:
Two-Phase Approach to Link Prediction. ICONIP (2) 2014: 413-420 - [c54]Jit Mukherjee, Shashaank M. Aswatha, Prasenjit Mondal, Jayanta Mukherjee, Pabitra Mitra:
Duplication Detection for Image Sharing Systems. ICVGIP 2014: 4:1-4:7 - 2013
- [c53]Srinivas Virinchi, Pabitra Mitra:
Similarity Measures for Link Prediction Using Power Law Degree Distribution. ICONIP (2) 2013: 257-264 - [c52]Srinivas Virinchi, Pabitra Mitra:
Link Prediction Using Power Law Clique Distribution and Common Edges Distribution. PReMI 2013: 739-744 - 2012
- [c51]Tripti Swarnkar, Pabitra Mitra:
Graph based unsupervised feature selection for microarray data. BIBM Workshops 2012: 750-751 - [c50]Parin Chheda, Manaal Faruqui, Pabitra Mitra:
Handling OOV Words in Indian-language - English CLIR. ECIR 2012: 476-479 - [c49]Rajarshi Pal, Jayanta Mukherjee, Pabitra Mitra:
How do warm colors affect visual attention? ICVGIP 2012: 24 - [c48]Rajarshi Pal, Pabitra Mitra, Jayanta Mukherjee:
Image retargeting using controlled shrinkage. ICVGIP 2012: 71 - [c47]Abir De, Maunendra Sankar Desarkar, Niloy Ganguly, Pabitra Mitra:
Local learning of item dissimilarity using content and link structure. RecSys 2012: 221-224 - 2011
- [c46]Sandipan Mandal, Biswajit Das, Pabitra Mitra, Anupam Basu:
Developing Bengali Speech Corpus for Phone Recognizer Using Optimum Text Selection Technique. IALP 2011: 268-271 - [c45]Sandipan Mandal, Biswajit Das, Pabitra Mitra, Anupam Basu:
A Robust Bengali Continuous Speech Recognizer Using Triphone and Trigram Language Model. IC3 2011: 556-558 - [c44]Mousami Munot, Madhuri Joshi, Pabitra Mitra:
Genetic Algorithm Incorporates with Rough Set Theory: Application to Automated Karyotyping. IICAI 2011: 887-901 - [c43]Rajarshi Pal, Jayanta Mukhopadhyay, Pabitra Mitra:
Image Retargeting through Constrained Growth of Important Rectangular Partitions. PReMI 2011: 104-109 - [c42]Suprabhat Das, Pabitra Mitra:
Author Identification in Bengali Literary Works. PReMI 2011: 220-226 - [c41]Saptaditya Maiti, Deba Prasad Mandal, Pabitra Mitra:
Sentence Ranking for Document Indexing. PReMI 2011: 274-279 - [c40]Vignesh Ramanathan, Shaunak Mishra, Pabitra Mitra:
Quadtree decomposition based extended vector space model for image retrieval. WACV 2011: 139-144 - 2010
- [c39]Plaban Kumar Bhowmick, Anupam Basu, Pabitra Mitra:
Determining Reliability of Subjective and Multi-label Emotion Annotation through Novel Fuzzy Agreement Measure. LREC 2010 - [c38]Maunendra Sankar Desarkar, Sudeshna Sarkar, Pabitra Mitra:
Aggregating preference graphs for collaborative rating prediction. RecSys 2010: 21-28 - 2009
- [c37]Nagarjun Rao Kota, Piyush Grover, Pabitra Mitra:
A Spatio-Temporally Adaptive Clustering Protocol for wireless microsensor networks. ICT 2009: 178-183 - [c36]Tirthankar Dasgupta, Anupam Basu, Plaban Kumar Bhowmick, Pabitra Mitra:
English to Indian Sign Language Machine Translation: A Structure Transfer Framework. IICAI 2009: 2055-2070 - [c35]Sujan Kumar Saha, Pabitra Mitra, Sudeshna Sarkar:
A Semi-supervised Approach for Maximum Entropy Based Hindi Named Entity Recognition. PReMI 2009: 225-230 - [c34]Plaban Kumar Bhowmick, Anupam Basu, Pabitra Mitra, Abhishek Prasad:
Multi-label Text Classification Approach for Sentence Level News Emotion Analysis. PReMI 2009: 261-266 - [c33]Rajarshi Pal, Jayanta Mukherjee, Pabitra Mitra:
An Approach for Preparing Groundtruth Data and Evaluating Visual Saliency Models. PReMI 2009: 279-284 - 2008
- [c32]Sujan Kumar Saha, Pabitra Mitra, Sudeshna Sarkar:
Word Clustering and Word Selection Based Feature Reduction for MaxEnt Based Hindi NER. ACL 2008: 488-495 - [c31]Sujan Kumar Saha, Sudeshna Sarkar, Pabitra Mitra:
Gazetteer Preparation for Named Entity Recognition in Indian Languages. ALR@IJCNLP 2008: 9-16 - [c30]V. Vijaya Saradhi, Harish Karnick, Pabitra Mitra:
Topic Distillation using Support Vector Data Description. COMAD 2008: 93-103 - [c29]Pratyush Banerjee, Gaurav Garg, Pabitra Mitra, Anupam Basu:
Application of triphone clustering in acoustic modeling for continuous speech recognition in Bengali. ICPR 2008: 1-4 - [c28]Saptarshi Ghosh, Pabitra Mitra:
Combining content and structure similarity for XML document classification using composite SVM kernels. ICPR 2008: 1-4 - [c27]Sujan Kumar Saha, Sanjay Chatterji, Sandipan Dandapat, Sudeshna Sarkar, Pabitra Mitra:
A Hybrid Named Entity Recognition System for South and South East Asian Languages. IJCNLP 2008: 17-24 - [c26]Sujan Kumar Saha, Sudeshna Sarkar, Pabitra Mitra:
A Hybrid Feature Set based Maximum Entropy Hindi Named Entity Recognition. IJCNLP 2008: 343-349 - [c25]Rajarshi Pal, Pabitra Mitra, Jayanta Mukhopadhyay:
ICam: Maximizes Viewers' Attention on Intended Objects. PCM 2008: 821-824 - [c24]Karm Veer Arya, Viraat Singh, Pabitra Mitra, Phalguni Gupta:
Face recognition using Parallel Associative Memory. SMC 2008: 1332-1336 - [c23]Souvik Debnath, Niloy Ganguly, Pabitra Mitra:
Feature weighting in content based recommendation system using social network analysis. WWW 2008: 1041-1042 - 2007
- [c22]Pallavi Palleti, Harish Karnick, Pabitra Mitra:
Personalized Web Search Using Probabilistic Query Expansion. Web Intelligence/IAT Workshops 2007: 83-86 - [c21]Joy Deep Nath, Pabitra Mitra, Niloy Ganguly:
Scalable Evolutionary Design of CA Pattern Classifier. IICAI 2007: 1456-1475 - [c20]Udit Sajjanhar, Pabitra Mitra:
Distributive Energy Efficient Adaptive Clustering Protocol for Wireless Sensor Networks. MDM 2007: 326-330 - [c19]Barna Saha, Pabitra Mitra:
Dynamic Algorithm for Graph Clustering Using Minimum Cut Tree. SDM 2007: 581-586 - 2006
- [c18]Barna Saha, Pabitra Mitra:
Dynamic Algorithm for Graph Clustering Using Minimum Cut Tree. ICDM Workshops 2006: 667-671 - [c17]Prithwijit Guha, Amitabha Mukerjee, K. S. Venkatesh, Pabitra Mitra:
Activity Discovery from Surveillance Videos. ICPR (1) 2006: 433-436 - [c16]Amit C. Awekar, Pabitra Mitra, Jaewoo Kang:
Selective hypertext induced topic search. WWW 2006: 1023-1024 - 2005
- [c15]D. V. Janardhan Rao, Pabitra Mitra:
A Rough Association Rule based Approach for Class Prediction with Missing Attribute Values. IICAI 2005: 2420-2431 - [c14]Prithwijit Guha, Pradeep Vaghela, Pabitra Mitra, K. S. Venkatesh, Amitabha Mukerjee:
Hybrid Hierarchical Learning from Dynamic Scenes. PReMI 2005: 212-217 - [c13]Prateek Jain, Pabitra Mitra:
Multi-objective Optimization for Adaptive Web Site Generation. PReMI 2005: 654-659 - [c12]D. V. Janardhan Rao, Mohua Banerjee, Pabitra Mitra:
Object Extraction in Gray-Scale Images by Optimizing Roughness Measure of a Fuzzy Set. PReMI 2005: 744-749 - [c11]Gaurav Pandey, Himanshu Gupta, Pabitra Mitra:
Stochastic scheduling of active support vector learning algorithms. SAC 2005: 38-42 - [c10]Rupesh R. Mehta, Pabitra Mitra, Harish Karnick:
Extracting semantic structure of web documents using content and visual information. WWW (Special interest tracks and posters) 2005: 928-929 - 2004
- [c9]Mayank Vatsa, Richa Singh, Pabitra Mitra, Afzel Noore:
Signature Verification Using Static and Dynamic Features. ICONIP 2004: 350-355 - [c8]Pabitra Mitra, D. Dutta Majumder:
Feature Selection and Gene Clustering from Gene Expression Data. ICPR (2) 2004: 343-346 - [c7]Minakshi Banerjee, Malay K. Kundu, Pabitra Mitra:
Corner Detection Using Support Vector Machines. ICPR (2) 2004: 819-822 - [c6]Shubhra Sankar Ray, Sanghamitra Bandyopadhyay, Pabitra Mitra, Sankar K. Pal:
Neurocomputing for Certain Bioinformatics Tasks. MSRAS 2004: 439-454 - [c5]Mayank Vatsa, Richa Singh, Pabitra Mitra, Afzel Noore:
Digital watermarking based secure multimodal biometric system. SMC (3) 2004: 2983-2987 - 2003
- [c4]Pabitra Mitra, B. Uma Shankar, Sankar K. Pal:
Active Support Vector Machines for Pixel Classification in Remote Sensing Images. IICAI 2003: 543-553 - [c3]Sankar K. Pal, Pabitra Mitra:
Rough Sets, EM Algorithm, MST and Multispectral Image Segmentation. RSFDGrC 2003: 104-105 - 2000
- [c2]Pabitra Mitra, C. A. Murthy, Sankar K. Pal:
Data Condensation in Large Databases by Incremental Learning with Support Vector Machines. ICPR 2000: 2708-2711 - 1999
- [c1]Pabitra Mitra, Sushmita Mitra, Sankar K. Pal:
Modular Rough Fuzzy MLP: Evolutionary Design. RSFDGrC 1999: 128-136
Parts in Books or Collections
- 2006
- [p2]Nitin Gupta, Nitin Mangal, Kamal Tiwari, Pabitra Mitra:
Mining Quantitative Association Rules in Protein Sequences. Selected Papers from AusDM 2006: 273-281 - 2004
- [p1]Sankar Kumar Pal, Biswarup Dasgupta, Pabitra Mitra:
Rough-SOM with Fuzzy Discretization. Rough-Neural Computing: Techniques for Computing with Words 2004: 351-372
Informal and Other Publications
- 2024
- [i28]Shubhi Shukla, Manaar Alam, Pabitra Mitra, Debdeep Mukhopadhyay:
Stealing the Invisible: Unveiling Pre-Trained CNN Models through Adversarial Examples and Timing Side-Channels. CoRR abs/2402.11953 (2024) - [i27]Suryam Arnav Kalra, Arindam Biswas, Pabitra Mitra, Biswajit Basu:
Graph Expansion in Pruned Recurrent Neural Network Layers Preserve Performance. CoRR abs/2403.11100 (2024) - 2023
- [i26]Monnie Parida, Manjira Sinha, Anupam Basu, Pabitra Mitra:
Optimizing Odia Braille Literacy: The Influence of Speed on Error Reduction and Enhanced Comprehension. CoRR abs/2310.08280 (2023) - [i25]Aravinda Reddy P. N, K. Sreenivasa Rao, Raghavendra Ramachandra, Pabitra Mitra:
ExtSwap: Leveraging Extended Latent Mapper for Generating High Quality Face Swapping. CoRR abs/2310.12736 (2023) - 2022
- [i24]Manashi Chakraborty, Aritri Chakraborty, Prabir Kumar Biswas, Pabitra Mitra:
Texture Aware Autoencoder Pre-training And Pairwise Learning Refinement For Improved Iris Recognition. CoRR abs/2202.07499 (2022) - [i23]Shubhi Shukla, Manaar Alam, Sarani Bhattacharya, Debdeep Mukhopadhyay, Pabitra Mitra:
On the Evaluation of User Privacy in Deep Neural Networks using Timing Side Channel. CoRR abs/2208.01113 (2022) - 2021
- [i22]Hareesh Mandalapu, Aravinda Reddy P. N, Raghavendra Ramachandra, K. Sreenivasa Rao, Pabitra Mitra, S. R. Mahadeva Prasanna, Christoph Busch:
Audio-Visual Biometric Recognition and Presentation Attack Detection: A Comprehensive Survey. CoRR abs/2101.09725 (2021) - [i21]Priyanka Sinha, Pabitra Mitra, Antonio Anastasio Bruto da Costa, Nikolaos Kekatos:
Explaining Outcomes of Multi-Party Dialogues using Causal Learning. CoRR abs/2105.00944 (2021) - [i20]Hareesh Mandalapu, Aravinda Reddy P. N, Raghavendra Ramachandra, K. Sreenivasa Rao, Pabitra Mitra, S. R. Mahadeva Prasanna, Christoph Busch:
Multilingual Audio-Visual Smartphone Dataset And Evaluation. CoRR abs/2109.04138 (2021) - 2020
- [i19]Manashi Chakraborty, Mayukh Roy, Prabir Kumar Biswas, Pabitra Mitra:
Unsupervised Pre-trained, Texture Aware And Lightweight Model for Deep Learning-Based Iris Recognition Under Limited Annotated Data. CoRR abs/2002.09048 (2020) - [i18]Anirban Lahiri, Utanko Mitra, Sunreeta Sen, Mreenal Chakraborty, Max Kleiman-Weiner, Rajlakshmi Guha, Pabitra Mitra, Anupam Basu, Partha Pratim Chakraborty:
Antarjami: Exploring psychometric evaluation through a computer-based game. CoRR abs/2007.10089 (2020) - [i17]Tianjian Huang, Prajwal Singhania, Maziar Sanjabi, Pabitra Mitra, Meisam Razaviyayn:
Alternating Direction Method of Multipliers for Quantization. CoRR abs/2009.03482 (2020) - 2019
- [i16]Debarghya China, Francis Tom, Sumanth Nandamuri, Aupendu Kar, Mukundhan Srinivasan, Pabitra Mitra, Debdoot Sheet:
UltraCompression: Framework for High Density Compression of Ultrasound Volumes using Physics Modeling Deep Neural Networks. CoRR abs/1901.05880 (2019) - [i15]Sumanth Nandamuri, Debarghya China, Pabitra Mitra, Debdoot Sheet:
SUMNet: Fully Convolutional Model for Fast Segmentation of Anatomical Structures in Ultrasound Volumes. CoRR abs/1901.06920 (2019) - [i14]Debarghya China, Pabitra Mitra, Debdoot Sheet:
Segmentation of Lumen and External Elastic Laminae in Intravascular Ultrasound Images using Ultrasonic Backscattering Physics Initialized Multiscale Random Walks. CoRR abs/1901.06926 (2019) - [i13]Anirban Santara, Jayeeta Datta, Sourav Sarkar, Ankur Garg, Kirti Padia, Pabitra Mitra:
PUNCH: Positive UNlabelled Classification based information retrieval in Hyperspectral images. CoRR abs/1904.04547 (2019) - [i12]Anirban Santara, Rishabh Madan, Balaraman Ravindran, Pabitra Mitra:
ExTra: Transfer-guided Exploration. CoRR abs/1906.11785 (2019) - 2018
- [i11]Sourav Pal, Tharun Mohandoss, Pabitra Mitra:
Visual Attention for Behavioral Cloning in Autonomous Driving. CoRR abs/1812.01802 (2018) - 2017
- [i10]Avisek Lahiri, Arnav Kumar Jain, Prabir Kumar Biswas, Pabitra Mitra:
Improving Consistency and Correctness of Sequence Inpainting using Semantically Guided Generative Adversarial Network. CoRR abs/1711.06106 (2017) - 2016
- [i9]Anirban Santara, Debapriya Maji, D. P. Tejas, Pabitra Mitra, Arobinda Gupta:
Faster learning of deep stacked autoencoders on multi-core systems using synchronized layer-wise pre-training. CoRR abs/1603.02836 (2016) - [i8]Debapriya Maji, Anirban Santara, Pabitra Mitra, Debdoot Sheet:
Ensemble of Deep Convolutional Neural Networks for Learning to Detect Retinal Vessels in Fundus Images. CoRR abs/1603.04833 (2016) - [i7]Biswajit Paria, Anirban Santara, Pabitra Mitra:
Visualization Regularizers for Neural Network based Image Recognition. CoRR abs/1604.02646 (2016) - [i6]Sourya Roy, Pabitra Mitra:
Visual saliency detection: a Kalman filter based approach. CoRR abs/1604.04825 (2016) - [i5]Avisek Lahiri, Sourya Roy, Anirban Santara, Pabitra Mitra, Prabir Kumar Biswas:
WEPSAM: Weakly Pre-Learnt Saliency Model. CoRR abs/1605.01101 (2016) - [i4]Kumar Krishna Agrawal, Arnav Kumar Jain, Abhinav Agarwalla, Pabitra Mitra:
Recurrent Memory Addressing for describing videos. CoRR abs/1611.06492 (2016) - [i3]Anirban Santara, Kaustubh Mani, Pranoot Hatwar, Ankit Singh, Ankur Garg, Kirti Padia, Pabitra Mitra:
BASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification. CoRR abs/1612.00144 (2016) - 2015
- [i2]Souradeep Chakraborty, Pabitra Mitra:
A dense subgraph based algorithm for compact salient image region detection. CoRR abs/1511.06545 (2015) - 2013
- [i1]Arindam Chaudhuri, Kajal De, Dipak Chatterjee, Pabitra Mitra:
Trapezoidal Fuzzy Numbers for the Transportation Problem. CoRR abs/1307.1893 (2013)
Coauthor Index
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