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2020 – today

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2022
[c70]
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R. Uday Kiran, Vipul Chhabra, Saideep Chennupati, P. Krishna Reddy, Minh-Son Dao, Koji Zettsu:
A Novel Null-Invariant Temporal Measure to Discover Partial Periodic Patterns in Non-uniform Temporal Databases. DASFAA (1) 2022: 569-577
2021
[c69]
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Tuan-Vinh La, Minh-Son Dao, Kazuki Tejima, Rage Uday Kiran, Koji Zettsu:
Improving the Awareness of Sustainable Smart Cities by Analyzing Lifelog Images and IoT Air Pollution Data. IEEE BigData 2021: 3589-3594
[c68]
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Minh-Son Dao, Dinh-Duy Pham, Manh-Phu Nguyen, Thanh-Binh Nguyen, Koji Zettsu:
MM-trafficEvent: An Interactive Incident Retrieval System for First-view Travel-log Data. IEEE BigData 2021: 4842-4851
[c67]
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Tran Anh Khoa, Do-Van Nguyen, Minh-Son Dao, Koji Zettsu:
Fed xData: A Federated Learning Framework for Enabling Contextual Health Monitoring in a Cloud-Edge Network. IEEE BigData 2021: 4979-4988
[c66]
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So Nakamura, R. Uday Kiran, Palla Likhitha, Penugonda Ravikumar, Yutaka Watanobe, Minh-Son Dao, Koji Zettsu, Masashi Toyoda:
Efficient Discovery of Partial Periodic-Frequent Patterns in Temporal Databases. DEXA (1) 2021: 221-227
[c65]
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R. Uday Kiran, Palla Likhitha, Minh-Son Dao, Koji Zettsu, Ji Zhang:
Discovering Periodic-Frequent Patterns in Uncertain Temporal Databases. ICONIP (5) 2021: 710-718
[c64]
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Sai Chithra Bommisetty, Penugonda Ravikumar, Rage Uday Kiran, Minh-Son Dao, Koji Zettsu:
Discovering Spatial High Utility Itemsets in High-Dimensional Spatiotemporal Databases. IEA/AIE (1) 2021: 53-65
[c63]
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Minh-Son Dao, Koji Zettsu, Rage Uday Kiran:
IMAGE-2-AQI: Aware of the Surrounding Air Qualification by a Few Images. IEA/AIE (2) 2021: 335-346
[c62]
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Minh-Son Dao:
Session details: Keynote & Invited Talks. ICDAR@ICMR 2021
[c61]
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Minh-Son Dao, Michael Alexander Riegler, Duc-Tien Dang-Nguyen, Cathal Gurrin, Minh-Triet Tran, Thanh-Binh Nguyen:
ICDAR'21: Intelligent Cross-Data Analysis and Retrieval. ICMR 2021: 688-689
[c60]
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Dang-Hieu Nguyen, Loc Tai Nguyen Tan, Minh-Tam Nguyen, Thanh-Binh Nguyen, Minh-Son Dao:
MNR-Air: An Economic and Dynamic Crowdsourcing Mechanism to Collect Personal Lifelog and Surrounding Environment Dataset. A Case Study in Ho Chi Minh City, Vietnam. MMM (2) 2021: 206-217
[c59]
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Dat Q. Duong, Quang M. Le, Tan-Loc Nguyen-Tai, Hien D. Nguyen, Minh-Son Dao, Binh T. Nguyen:
An Effective AQI Estimation Using Sensor Data and Stacking Mechanism. SoMeT 2021: 405-418
[e2]
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  - conf/mediaeval/2020
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Steven Hicks, Debesh Jha, Konstantin Pogorelov, Alba García Seco de Herrera, Dmitry Bogdanov, Pierre-Etienne Martin, Stelios Andreadis, Minh-Son Dao, Zhuoran Liu, José Vargas Quiros, Benjamin Kille, Martha A. Larson:
Working Notes Proceedings of the MediaEval 2020 Workshop, Online, 14-15 December 2020. CEUR Workshop Proceedings 2882, CEUR-WS.org 2021 [contents]
[e1]
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Minh-Son Dao, Duc-Tien Dang-Nguyen, Michael Riegler:
ICDAR@ICMR 2021: Proceedings of the 2021 Workshop on Intelligent Cross-Data Analysis and Retrieval, Taipei, Taiwan, 21 August 2021. ACM 2021, ISBN 978-1-4503-8529-9 [contents]
2020
[j7]
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Trong-Dat Phan, Minh-Son Dao, Koji Zettsu:
Lifelog Moment Retrieval With Interactive Watershed-Based Clustering and Hierarchical Similarity Search. Int. J. Multim. Data Eng. Manag. 11(2): 31-48 (2020)
[c58]
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Minh-Son Dao, Ngoc-Thanh Nguyen, R. Uday Kiran, Koji Zettsu:
Fusion-3DCNN-max3P: A dynamic system for discovering patterns of predicted congestion. IEEE BigData 2020: 910-915
[c57]
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Dat Q. Duong, Quang M. Le, Tan-Loc Nguyen-Tai, Dong Bo, Dat Nguyen, Minh-Son Dao, Binh T. Nguyen:
Multi-source Machine Learning for AQI Estimation. IEEE BigData 2020: 4567-4576
[c56]
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R. Uday Kiran, Sadanori Ito, Minh-Son Dao, Koji Zettsu, Cheng-Wei Wu, Yutaka Watanobe, Incheon Paik, Truong Cong Thang:
Distributed Mining of Spatial High Utility Itemsets in Very Large Spatiotemporal Databases using Spark In-Memory Computing Architecture. IEEE BigData 2020: 4724-4733
[c55]
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Anh-Vu Mai-Nguyen, Van-Luon Tran, Minh-Son Dao, Koji Zettsu:
Leverage the Predictive Power Score of Lifelog Data's Attributes to Predict the Expected Athlete Performance. CLEF (Working Notes) 2020
[c54]
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Van-Luon Tran, Trong-Dat Phan, Anh-Vu Mai-Nguyen, Anh-Khoa Vo, Minh-Son Dao, Koji Zettsu:
An Interactive Atomic-cluster Watershed-based System for Lifelog Moment Retrieval. CLEF (Working Notes) 2020
[c53]
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Ngoc-Thanh Nguyen, Minh-Son Dao, Koji Zettsu:
Leveraging 3D-Raster-Images and DeepCNN with Multi-source Urban Sensing Data for Traffic Congestion Prediction. DEXA (2) 2020: 396-406
[c52]
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Minh-Son Dao, Ngoc-Thanh Nguyen, R. Uday Kiran, Koji Zettsu:
Insights From Urban Sensing Data: From Chaos to Predicted Congestion Patterns. ICDM (Workshops) 2020: 661-668
[c51]
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  - conf/mediaeval/ZhaoDNNDG20
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Peijiang Zhao, Minh-Son Dao, Thanh Nguyen, Thanh-Binh Nguyen, Duc-Tien Dang-Nguyen, Cathal Gurrin:
Overview of MediaEval 2020 Insights for Wellbeing: Multimodal Personal Health Lifelog Data Analysis. MediaEval 2020
[c50]
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Anh-Vu Mai-Nguyen, Trong-Dat Phan, Anh-Khoa Vo, Van-Luon Tran, Minh-Son Dao, Koji Zettsu:
BIDAL-HCMUS@LSC2020: An Interactive Multimodal Lifelog Retrieval with Query-to-Sample Attention-based Search Engine. LSC@ICMR 2020: 43-49
[c49]
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Dinh V. Cuong, Dac H. Nguyen, Son Huynh, Phong Huynh, Cathal Gurrin, Minh-Son Dao, Duc-Tien Dang-Nguyen, Binh T. Nguyen:
A Framework for Paper Submission Recommendation System. ICMR 2020: 393-396
[c48]
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Quy H. Nguyen, Dac H. Nguyen, Minh-Son Dao, Duc-Tien Dang-Nguyen, Cathal Gurrin, Binh T. Nguyen:
An Active Learning Framework for Duplicate Detection in SaaS Platforms. ICMR 2020: 412-415
[c47]
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Van-Luon Tran, Anh-Vu Mai-Nguyen, Trong-Dat Phan, Anh-Khoa Vo, Minh-Son Dao, Koji Zettsu:
An Interactive Multimodal Retrieval System for Memory Assistant and Life Organized Support. ICMR 2020: 416-420
[c46]
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Minh-Son Dao, Morten Fjeld, Filip Biljecki, Uraz Yavanoglu, Mianxiong Dong:
ICDAR'20: Intelligent Cross-Data Analysis and Retrieval. ICMR 2020: 580-581

2010 – 2019

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2019
[j6]
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Zhihan Lv, Irfan Mehmood, Mario Vento, Minh-Son Dao, Kaoru Ota, Alessia Saggese:
IEEE Access Special Section Editorial: Multimedia Analysis for Internet-of-Things. IEEE Access 7: 65211-65218 (2019)
[c45]
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Ngoc-Thanh Nguyen, Minh-Son Dao, Koji Zettsu:
Complex Event Analysis for Traffic Risk Prediction based on 3D-CNN with Multi-sources Urban Sensing Data. IEEE BigData 2019: 1669-1674
[c44]
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Minh-Son Dao, Ngoc-Thanh Nguyen, Koji Zettsu:
Multi-time-horizon Traffic Risk Prediction using Spatio-Temporal Urban Sensing Data Fusion. IEEE BigData 2019: 2205-2214
[c43]
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Phuong-Binh Vo, Trong-Dat Phan, Minh-Son Dao, Koji Zettsu:
Association Model between Visual Feature and AQI Rank Using Lifelog Data. IEEE BigData 2019: 4197-4200
[c42]
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Trong-Dat Phan, Minh-Son Dao, Koji Zettsu:
An Interactive Watershed-Based Approach for Lifelog Moment Retrieval. BigMM 2019: 282-286
[c41]
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Anh-Khoa Vo, Minh-Son Dao, Koji Zettsu:
From Chaos to Order: The Role of Content and Context of Daily Activities in Rearranging Lifelogs Data. BigMM 2019: 292-296
[c40]
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Minh-Son Dao, Anh-Khoa Vo, Trong-Dat Phan, Koji Zettsu:
BIDAL@imageCLEFlifelog2019: The Role of Content and Context of Daily Activities in Insights from Lifelogs. CLEF (Working Notes) 2019
[c39]
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Minh-Son Dao, Peijiang Zhao, Tomohiro Sato, Koji Zettsu, Duc-Tien Dang-Nguyen, Cathal Gurrin, Ngoc-Thanh Nguyen:
Overview of MediaEval 2019: Insights for Wellbeing TaskMultimodal Personal Health Lifelog Data Analysis. MediaEval 2019
[c38]
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Tomohiro Sato, Minh-Son Dao, Kota Kuribayashi, Koji Zettsu:
SEPHLA: Challenges and Opportunities Within Environment - Personal Health Archives. MMM (1) 2019: 325-337
2018
[c37]
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Minh-Son Dao, Koji Zettsu:
A Raster-Image-Based Approach for Understanding Associations of Urban Sensing Data. AIKE 2018: 134-137
[c36]
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Minh-Son Dao, Koji Zettsu:
Complex Event Analysis of Urban Environmental Data based on Deep CNN of Spatiotemporal Raster Images. IEEE BigData 2018: 2160-2169
[c35]
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Minh-Son Dao, Asem Kasem, Mohamed Saleem Haja Nazmudeen:
Leveraging Content and Context in Understanding Activities of Daily Living. CLEF (Working Notes) 2018
[c34]
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Minh-Son Dao, Duc-Tien Dang-Nguyen, Asem Kasem, Hung Tran-The:
HealthyClassroom - A Proof-of-Concept Study for Discovering Students' Daily Moods and Classroom Emotions to Enhance a Learning-teaching Process using Heterogeneous Sensors. ICPRAM 2018: 685-691
[c33]
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Minh-Son Dao, Pham Quang Nhat Minh, Asem Kasem, Mohamed Saleem Haja Nazmudeen:
A Context-Aware Late-Fusion Approach for Disaster Image Retrieval from Social Media. ICMR 2018: 266-273
2017
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Kaoru Ota, Minh-Son Dao, Vasileios Mezaris, Francesco G. B. De Natale:
Introduction to Special Issue on Deep Learning for Mobile Multimedia. ACM Trans. Multim. Comput. Commun. Appl. 13(3s): 33:1-33:2 (2017)
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Kaoru Ota, Minh-Son Dao, Vasileios Mezaris, Francesco G. B. De Natale:
Deep Learning for Mobile Multimedia: A Survey. ACM Trans. Multim. Comput. Commun. Appl. 13(3s): 34:1-34:22 (2017)
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Minh-Son Dao, Duc-Tien Dang-Nguyen, Michael Riegler, Cathal Gurrin:
Smart Lifelogging: Recognizing Human Activities using PHASOR. ICPRAM 2017: 761-768
[c31]
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Minh-Son Dao, Minh Pham Quang Nhat, Duc-Tien Dang-Nguyen:
A Domain-based Late-Fusion for Disaster Image Retrieval from Social Media. MediaEval 2017
2016
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Marco Mesiti, Luca Ferrari, Stefano Valtolina, Giacomo Licari, Gian Luca Galliani, Minh-Son Dao, Koji Zettsu:
streamLoader: An Event-Driven ETL System for the On-line Processing of Heterogeneous Sensor Data. EDBT 2016: 628-631
2015
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Minh-Son Dao, Koji Zettsu:
Discovering Environmental Impacts on Public Health Using Heterogeneous Big Sensory Data. BigData Congress 2015: 741-744
[c28]
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Minh-Son Dao, Koji Zettsu, Siripen Pongpaichet, Laleh Jalali, Ramesh C. Jain:
Exploring spatio-temporal-theme correlation between physical and social streaming data for event detection and pattern interpretation from heterogeneous sensors. IEEE BigData 2015: 2690-2699
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Laleh Jalali, Minh-Son Dao, Ramesh C. Jain, Koiji Zettsu:
Complex asthma risk factor recognition from heterogeneous data streams. ICME Workshops 2015: 1-6
[c26]
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Stefano Valtolina, Marco Mesiti, Luca Ferrari, Koji Zettsu, Minh-Son Dao:
User-Centered Event Data Modelling and Analytics. CoPDA@IS-EUD 2015: 52-58
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Minh-Son Dao, Koji Zettsu:
Automatic Labeling Streaming Data for Event Detection from Heterogeneous Sensors. KSE 2015: 365-370
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Marco Mesiti, Stefano Valtolina, Luca Ferrari, Minh-Son Dao, Koji Zettsu:
An editable live ETL system for Ambient Intelligence environments. WF-IoT 2015: 393-394
2014
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Minh-Son Dao, Duc-Tien Dang-Nguyen, Francesco G. B. De Natale:
Robust event discovery from photo collections using Signature Image Bases (SIBs). Multim. Tools Appl. 70(1): 25-53 (2014)
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Minh-Son Dao, Anh Duc Duong, Francesco G. B. De Natale:
Unsupervised social media events clustering using user-centric parallel split-n-merge algorithms. ICASSP 2014: 4798-4802
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Duc-Duy Nguyen, Minh-Son Dao, Truc-Vien T. Nguyen:
Natural Language Processing for Social Event Classification. KSE 2014: 79-91
[c21]
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Emanuele Sansone, Giulia Boato, Minh-Son Dao:
Synchronizing Multi-User Photo Galleries with MRF. MediaEval 2014
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Minh-Son Dao, Siripen Pongpaichet, Laleh Jalali, Kyoung-Sook Kim, Ramesh C. Jain, Koiji Zettsu:
A Real-time Complex Event Discovery Platform for Cyber-Physical-Social Systems. ICMR 2014: 201
2013
[c19]
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Truc-Vien Nguyen, Minh-Son Dao, Riccardo Mattivi, Emanuele Sansone, Francesco G. B. De Natale, Giulia Boato:
Event Clustering and Classification from Social Media: Watershed-based and Kernel Methods. MediaEval 2013
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Minh-Son Dao, Giulia Boato, Francesco G. B. De Natale, Truc-Vien Nguyen:
Jointly exploiting visual and non-visual information for event-related social media retrieval. ICMR 2013: 159-166
2012
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Minh-Son Dao, Riccardo Mattivi, Francesco G. B. De Natale, Keita Masui, Noboru Babaguchi:
Abandoned Object's Owner Detection: A Case Study of Hybrid Mobile-Fixed Video Surveillance System. AVSS 2012: 404-409
[c16]
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Minh-Son Dao, Truc-Vien Nguyen, Giulia Boato, Francesco G. B. De Natale:
The Watershed-based Social Events Detection Method with Support from External Data Sources. MediaEval 2012
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Minh-Son Dao, Giulia Boato, Francesco G. B. De Natale:
Discovering inherent event taxonomies from social media collections. ICMR 2012: 48
2011
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Minh-Son Dao, Duc-Tien Dang-Nguyen, Francesco G. B. De Natale:
Signature-image-based event analysis for personal photo albums. ACM Multimedia 2011: 1481-1484
2010
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Minh-Son Dao, Noboru Babaguchi:
A new spatio-temporal method for event detection and personalized retrieval of sports video. Multim. Tools Appl. 50(1): 227-248 (2010)
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Keita Masui, Minh-Son Dao, Noboru Babaguchi:
Modeling visual information by spatio-temporal patterns to analyze event tactic in sports video. EUVIP 2010: 198-203
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Minh-Son Dao, Keita Masui, Noboru Babaguchi:
Event tactic analysis in sports video using spatio-temporal pattern. ICIP 2010: 1497-1500

2000 – 2009

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2009
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Minh-Son Dao, Sharma Ishan Nath, Noboru Babaguchi:
A New Linguistic-Perceptual Event Model for Spatio-Temporal Event Detection and Personalized Retrieval of Sports Video. ICIAP 2009: 594-603
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Minh-Son Dao, Sharma Ishan Nath, Noboru Babaguchi:
Preserving topological information in sub-trajectories-based representation for spatio-temporal trajectories indexing and retrieval. ACM Multimedia 2009: 641-644
2008
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Minh-Son Dao, Noboru Babaguchi:
Sports event detection using temporal patterns mining and web-casting text. AREA 2008: 33-40
[c8]
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Minh-Son Dao, Noboru Babaguchi:
Mining temporal information and web-casting textfor automatic sports event detection. MMSP 2008: 616-621
2007
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Minh-Son Dao, Francesco G. B. De Natale, Andrea Massa:
Edge Potential Functions (EPF) and Genetic Algorithms (GA) for Edge-Based Matching of Visual Objects. IEEE Trans. Multim. 9(1): 120-135 (2007)
2006
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Olga Symonova, Minh-Son Dao, Giuliana Ucelli, Raffaele de Amicis:
Ontology Based Shape Annotation and Retrieval. C&O@ECAI 2006
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Olga Symonova, Minh-Son Dao, Raffaele de Amicis, Giuliana Ucelli:
Topological Descriptor for CAD Model with Inner Cavities. Eurographics Italian Chapter Conference 2006: 61-67
[c5]
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Minh-Son Dao, Raffaele de Amicis:
A New Method for Boundary-Based Shape Matching and Retrieval. ICIP 2006: 1485-1488
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Minh-Son Dao, Raffaele de Amicis:
A fusion method of geometric and topological features for boundary-based shape matching and retrieval. MMSP 2006: 217-220
2005
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Minh-Son Dao, Francesco G. B. De Natale, Andrea Massa:
Efficient Shape Matching Using Weighted Edge Potential Functions. ICIAP 2005: 629-636
2004
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Minh-Son Dao, Francesco G. B. De Natale, Andrea Massa:
MPEG-4 Video Retrieval Using Video-Objects and Edge Potential Functions. PCM (3) 2004: 550-557
2003
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Minh-Son Dao, Francesco G. B. De Natale, Andrea Massa:
Edge potential functions and genetic algorithms for shape-based image retrieval. ICIP (3) 2003: 729-732

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