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ORCIDGarrison W. Cottrell
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- affiliation: University of California, San Diego, USA
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2020 – today
- 2022
[j32]Qianli Ma
, Sen Li, Garrison W. Cottrell:
Adversarial Joint-Learning Recurrent Neural Network for Incomplete Time Series Classification. IEEE Trans. Pattern Anal. Mach. Intell. 44(4): 1765-1776 (2022)- [j31]Anshuman Dewangan, Yash Pande, Hans-Werner Braun, Frank Vernon, Ismael Pérez, Ilkay Altintas, Garrison W. Cottrell, Mai H. Nguyen:
FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection. Remote. Sens. 14(4): 1007 (2022) - [c79]Md. Mehrab Tanjim, Ritwik Sinha, Krishna Kumar Singh, Sridhar Mahadevan, David Arbour, Moumita Sinha, Garrison W. Cottrell:
Generating and Controlling Diversity in Image Search. WACV 2022: 3908-3916 - 2021
- [c78]Qianli Ma, Chuxin Chen, Sen Li, Garrison W. Cottrell:
Learning Representations for Incomplete Time Series Clustering. AAAI 2021: 8837-8846 - [c77]Qianli Ma, Zhenjing Zheng, Jiawei Zheng, Sen Li, Wanqing Zhuang, Garrison W. Cottrell:
Joint-Label Learning by Dual Augmentation for Time Series Classification. AAAI 2021: 8847-8855 - [c76]Zhengjie Xu, Zixiang Zhou, Garrison W. Cottrell, Mai H. Nguyen:
Generalization in Cardiac Image Segmentation. IEEE BigData 2021: 2838-2847 - 2020
- [j30]Qianli Ma, Lifeng Shen, Garrison W. Cottrell:
DeePr-ESN: A deep projection-encoding echo-state network. Inf. Sci. 511: 152-171 (2020) - [j29]Qianli Ma, Sen Li, Lifeng Shen, Jiabing Wang, Jia Wei, Zhiwen Yu, Garrison W. Cottrell:
End-to-End Incomplete Time-Series Modeling From Linear Memory of Latent Variables. IEEE Trans. Cybern. 50(12): 4908-4920 (2020) - [c75]Qianli Ma, Zhenxi Lin, Enhuan Chen, Garrison W. Cottrell:
Temporal Pyramid Recurrent Neural Network. AAAI 2020: 5061-5068 - [c74]Qianli Ma, Wanqing Zhuang, Sen Li, Desen Huang, Garrison W. Cottrell:
Adversarial Dynamic Shapelet Networks. AAAI 2020: 5069-5076 - [c73]Md. Mehrab Tanjim, Hammad A. Ayyubi, Garrison W. Cottrell:
DynamicRec: A Dynamic Convolutional Network for Next Item Recommendation. CIKM 2020: 2237-2240 - [c72]Martha Gahl, Meilu Yuan, Arun Sugumar, Garrison W. Cottrell:
The face inversion effect and the anatomical mapping from the visual field to the primary visual cortex. CogSci 2020 - [c71]Amanda Song, Weifeng Hu, Devendra Pratap Yadav, Fangfang Wen, Bin Zuo, Ed Vul, Garrison W. Cottrell:
Do you see what I see? A Cross-cultural Comparison of Social Impressions of Faces. CogSci 2020 - [c70]Amanda Song, Devendra Pratap Yadav, Weifeng Hu, Garrison W. Cottrell, Ed Vul:
To Dye or Not to Dye : The Effect of Hair Color on First Impressions. CogSci 2020 - [c69]Yao Qin, Nicholas Frosst, Sara Sabour, Colin Raffel, Garrison W. Cottrell, Geoffrey E. Hinton:
Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions. ICLR 2020 - [c68]Huanru Henry Mao, Shuyang Li, Julian J. McAuley, Garrison W. Cottrell:
Speech Recognition and Multi-Speaker Diarization of Long Conversations. INTERSPEECH 2020: 691-695 - [i23]Yao Qin, Nicholas Frosst, Colin Raffel, Garrison W. Cottrell, Geoffrey E. Hinton:
Deflecting Adversarial Attacks. CoRR abs/2002.07405 (2020) - [i22]Thomas Bachlechner, Bodhisattwa Prasad Majumder, Huanru Henry Mao, Garrison W. Cottrell, Julian J. McAuley:
ReZero is All You Need: Fast Convergence at Large Depth. CoRR abs/2003.04887 (2020) - [i21]Hammad A. Ayyubi, Md. Mehrab Tanjim, Julian J. McAuley, Garrison W. Cottrell:
Generating Rationales in Visual Question Answering. CoRR abs/2004.02032 (2020) - [i20]Huanru Henry Mao, Shuyang Li, Julian J. McAuley, Garrison W. Cottrell:
Speech Recognition and Multi-Speaker Diarization of Long Conversations. CoRR abs/2005.08072 (2020)
2010 – 2019
- 2019
- [j28]Qianli Ma, Wanqing Zhuang, Lifeng Shen, Garrison W. Cottrell:
Time series classification with Echo Memory Networks. Neural Networks 117: 225-239 (2019) - [c67]Chad Atalla, Amanda Song, Garrison W. Cottrell:
Modifying social dimensions of human faces with ModifAE. CogSci 2019: 105-111 - [c66]Jonathan D. Nelson, Vincenzo Crupi, Flavia Filimon, Garrison W. Cottrell:
On falsification and Optimal Experimental Design approaches to the value of information. CogSci 2019: 3535 - [c65]Huanru Henry Mao, Bodhisattwa Prasad Majumder, Julian J. McAuley, Garrison W. Cottrell:
Improving Neural Story Generation by Targeted Common Sense Grounding. EMNLP/IJCNLP (1) 2019: 5987-5992 - [c64]Qianli Ma, Wanqing Zhuang, Garrison W. Cottrell:
Triple-Shapelet Networks for Time Series Classification. ICDM 2019: 1246-1251 - [c63]Yao Qin, Nicholas Carlini, Garrison W. Cottrell, Ian J. Goodfellow, Colin Raffel:
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition. ICML 2019: 5231-5240 - [c62]Chris Donahue, Huanru Henry Mao, Yiting Ethan Li, Garrison W. Cottrell, Julian J. McAuley:
LakhNES: Improving Multi-instrumental Music Generation with Cross-domain Pre-training. ISMIR 2019: 685-692 - [i19]Yao Qin, Nicholas Carlini, Ian J. Goodfellow, Garrison W. Cottrell, Colin Raffel:
Imperceptible, Robust, and Targeted Adversarial Examples for Automatic Speech Recognition. CoRR abs/1903.10346 (2019) - [i18]Yao Qin, Nicholas Frosst, Sara Sabour, Colin Raffel, Garrison W. Cottrell, Geoffrey E. Hinton:
Detecting and Diagnosing Adversarial Images with Class-Conditional Capsule Reconstructions. CoRR abs/1907.02957 (2019) - [i17]Chris Donahue, Huanru Henry Mao, Yiting Ethan Li, Garrison W. Cottrell, Julian J. McAuley:
LakhNES: Improving multi-instrumental music generation with cross-domain pre-training. CoRR abs/1907.04868 (2019) - [i16]Huanru Henry Mao, Bodhisattwa Prasad Majumder, Julian J. McAuley, Garrison W. Cottrell:
Improving Neural Story Generation by Targeted Common Sense Grounding. CoRR abs/1908.09451 (2019) - 2018
- [j27]Yao Qin, Mengyang Feng, Huchuan Lu, Garrison W. Cottrell:
Hierarchical Cellular Automata for Visual Saliency. Int. J. Comput. Vis. 126(7): 751-770 (2018) - [c61]Yao Qin, Konstantinos Kamnitsas, Siddharth Ancha, Jay Nanavati, Garrison W. Cottrell, Antonio Criminisi, Aditya V. Nori:
Autofocus Layer for Semantic Segmentation. MICCAI (3) 2018: 603-611 - [c60]Huanru Henry Mao, Taylor Shin, Garrison W. Cottrell:
DeepJ: Style-Specific Music Generation. ICSC 2018: 377-382 - [c59]Panqu Wang, Pengfei Chen, Ye Yuan, Ding Liu, Zehua Huang, Xiaodi Hou, Garrison W. Cottrell:
Understanding Convolution for Semantic Segmentation. WACV 2018: 1451-1460 - [i15]Huanru Henry Mao, Taylor Shin, Garrison W. Cottrell:
DeepJ: Style-Specific Music Generation. CoRR abs/1801.00887 (2018) - [i14]Yao Qin, Konstantinos Kamnitsas, Siddharth Ancha, Jay Nanavati, Garrison W. Cottrell, Antonio Criminisi, Aditya V. Nori:
Autofocus Layer for Semantic Segmentation. CoRR abs/1805.08403 (2018) - 2017
- [j26]Mohsen Malmir, Karan Sikka, Deborah Forster, Ian R. Fasel, Javier R. Movellan, Garrison W. Cottrell:
Deep active object recognition by joint label and action prediction. Comput. Vis. Image Underst. 156: 128-137 (2017) - [c58]Yufei Wang, Zhe Lin, Xiaohui Shen, Radomír Mech, Gavin S. P. Miller, Garrison W. Cottrell:
Recognizing and Curating Photo Albums via Event-Specific Image Importance. BMVC 2017 - [c57]Vishaal Prasad, Benjamin Cipollini, Garrison W. Cottrell:
Categorical vs Coordinate Relationships do not reduce to spatial frequency differences. CogSci 2017 - [c56]Yufei Wang, Zhe Lin, Xiaohui Shen, Scott Cohen, Garrison W. Cottrell:
Skeleton Key: Image Captioning by Skeleton-Attribute Decomposition. CVPR 2017: 7378-7387 - [c55]Qianli Ma, Lifeng Shen, Enhuan Chen, Shuai Tian, Jiabing Wang, Garrison W. Cottrell:
WALKING WALKing walking: Action Recognition from Action Echoes. IJCAI 2017: 2457-2463 - [c54]Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison W. Cottrell:
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction. IJCAI 2017: 2627-2633 - [c53]Mohsen Malmir, Garrison W. Cottrell:
Belief tree search for active object recognition. IROS 2017: 4276-4283 - [i13]Panqu Wang, Pengfei Chen, Ye Yuan, Ding Liu, Zehua Huang, Xiaodi Hou, Garrison W. Cottrell:
Understanding Convolution for Semantic Segmentation. CoRR abs/1702.08502 (2017) - [i12]Yao Qin, Dongjin Song, Haifeng Chen, Wei Cheng, Guofei Jiang, Garrison W. Cottrell:
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction. CoRR abs/1704.02971 (2017) - [i11]Yufei Wang, Zhe Lin, Xiaohui Shen, Scott Cohen, Garrison W. Cottrell:
Skeleton Key: Image Captioning by Skeleton-Attribute Decomposition. CoRR abs/1704.06972 (2017) - [i10]Amanda Song, Linjie Li, Chad Atalla, Garrison W. Cottrell:
Learning to see people like people. CoRR abs/1705.04282 (2017) - [i9]Yao Qin, Mengyang Feng, Huchuan Lu, Garrison W. Cottrell:
Hierarchical Cellular Automata for Visual Saliency. CoRR abs/1705.09425 (2017) - [i8]Yufei Wang, Zhe Lin, Xiaohui Shen, Radomír Mech, Gavin S. P. Miller, Garrison W. Cottrell:
Recognizing and Curating Photo Albums via Event-Specific Image Importance. CoRR abs/1707.05911 (2017) - [i7]Mohsen Malmir, Garrison W. Cottrell:
Belief Tree Search for Active Object Recognition. CoRR abs/1708.03901 (2017) - [i6]Qianli Ma, Lifeng Shen, Garrison W. Cottrell:
Deep-ESN: A Multiple Projection-encoding Hierarchical Reservoir Computing Framework. CoRR abs/1711.05255 (2017) - 2016
- [j25]Panqu Wang, Isabel Gauthier, Garrison W. Cottrell:
Are Face and Object Recognition Independent? A Neurocomputational Modeling Exploration. J. Cogn. Neurosci. 28(4): 558-574 (2016) - [c52]Sanjeev Jagannatha Rao, Yufei Wang, Garrison W. Cottrell:
A Deep Siamese Neural Network Learns the Human-Perceived Similarity Structure of Facial Expressions Without Explicit Categories. CogSci 2016 - [c51]Panqu Wang, Garrison W. Cottrell:
Modeling the Contribution of Central Versus Peripheral Vision in Scene, Object, and Face Recognition. CogSci 2016 - [c50]Sandy Wiraatmadja, Garrison W. Cottrell:
Modeling the Visual Word Form Area Using a Deep Convolutional Neural Network. CogSci 2016 - [c49]Yufei Wang, Zhe Lin, Xiaohui Shen, Radomír Mech, Gavin S. P. Miller, Garrison W. Cottrell:
Event-Specific Image Importance. CVPR 2016: 4810-4819 - [i5]Honghao Shan, Matthew H. Tong, Garrison W. Cottrell:
A Single Model Explains both Visual and Auditory Precortical Coding. CoRR abs/1602.08486 (2016) - [i4]Panqu Wang, Garrison W. Cottrell:
Modeling the Contribution of Central Versus Peripheral Vision in Scene, Object, and Face Recognition. CoRR abs/1604.07457 (2016) - [i3]Panqu Wang, Isabel Gauthier, Garrison W. Cottrell:
Are Face and Object Recognition Independent? A Neurocomputational Modeling Exploration. CoRR abs/1604.07872 (2016) - 2015
- [c48]Panqu Wang, Garrison W. Cottrell, Christopher Kanan:
Modeling the Object Recognition Pathway: A Deep Hierarchical Model Using Gnostic Fields. CogSci 2015 - [c47]Yufei Wang, Garrison W. Cottrell:
Bikers Are Like Tobacco Shops, Formal Dressers Are Like Suits: Recognizing Urban Tribes with Caffe. WACV 2015: 876-883 - [c46]Tomoki Tsuchida, Garrison W. Cottrell:
Example Selection For Dictionary Learning. ICLR (Workshop) 2015 - [i2]Panqu Wang, Garrison W. Cottrell:
Basic Level Categorization Facilitates Visual Object Recognition. CoRR abs/1511.04103 (2015) - [i1]Mohsen Malmir, Karan Sikka, Deborah Forster, Ian R. Fasel, Javier R. Movellan, Garrison W. Cottrell:
Deep Active Object Recognition by Joint Label and Action Prediction. CoRR abs/1512.05484 (2015) - 2014
- [c45]Benjamin Cipollini, Garrison W. Cottrell:
A Developmental Model of Hemispheric Asymmetry of Spatial Frequencies. CogSci 2014 - [c44]Panqu Wang, Isabel Gauthier, Garrison W. Cottrell:
Experience Matters: Modeling the Relationship Between Face and Object Recognition. CogSci 2014 - [c43]Christopher Kanan, Nicholas A. Ray, Dina N. F. Bseiso, Janet Hui-wen Hsiao, Garrison W. Cottrell:
Predicting an observer's task using multi-fixation pattern analysis. ETRA 2014: 287-290 - [c42]Honghao Shan, Garrison W. Cottrell:
Efficient Visual Coding: From Retina To V2. ICLR (Workshop Poster) 2014 - 2013
- [j24]Janet Hui-wen Hsiao, Benjamin Cipollini, Garrison W. Cottrell:
Hemispheric Asymmetry in Perception: A Differential Encoding Account. J. Cogn. Neurosci. 25(7): 998-1007 (2013) - [j23]Rosemary A. Cowell, Garrison W. Cottrell:
What Evidence Supports Special Processing for Faces? A Cautionary Tale for fMRI Interpretation. J. Cogn. Neurosci. 25(11): 1777-1793 (2013) - [c41]Benjamin Cipollini, Garrison W. Cottrell:
Uniquely human developmental timing may drive cerebral lateralization and interhemispheric coupling. CogSci 2013 - [c40]Akinyinka Omigbodun, Garrison W. Cottrell:
Is Facial Expression Processing Holistic? CogSci 2013 - [c39]Panqu Wang, Garrison W. Cottrell:
A Computational Model of the Development of Hemispheric Asymmetry of Face Processing. CogSci 2013 - 2012
- [c38]Benjamin Cipollini, Janet H. Hsiao, Garrison W. Cottrell:
Connectivity Asymmetry Can Explain Visual Hemispheric Asymmetries in Local/Global, Face, and Spatial Frequency Processing. CogSci 2012 - [c37]Rentao Li, Garrison W. Cottrell:
A New Angle on the EMPATH Model: Spatial Frequency Orientation in Recognition of Facial Expressions. CogSci 2012 - [c36]Tomoki Tsuchida, Garrison W. Cottrell:
Auditory Saliency Using Natural Statistics. CogSci 2012 - [c35]Ruixin Yang, Garrison W. Cottrell:
The Influence of Risk Aversion on Visual Decision Making. CogSci 2012 - 2010
- [c34]Christopher Kanan, Garrison W. Cottrell:
Robust classification of objects, faces, and flowers using natural image statistics. CVPR 2010: 2472-2479 - [c33]Christopher Kanan, Arturo Flores, Garrison W. Cottrell:
Color Constancy Algorithms for Object and Face Recognition. ISVC (1) 2010: 199-210
2000 – 2009
- 2009
- [j22]Tim K. Marks, Andrew Howard, Max Bajracharya, Garrison W. Cottrell, Larry H. Matthies:
Gamma-SLAM: Visual SLAM in unstructured environments using variance grid maps. J. Field Robotics 26(1): 26-51 (2009) - 2008
- [j21]Janet Hui-wen Hsiao, Danke X. Shieh, Garrison W. Cottrell:
Convergence of the Visual Field Split: Hemispheric Modeling of Face and Object Recognition. J. Cogn. Neurosci. 20(12): 2298-2307 (2008) - [c32]Honghao Shan, Garrison W. Cottrell:
Looking around the backyard helps to recognize faces and digits. CVPR 2008 - [c31]Nicholas J. Butko, Lingyun Zhang, Garrison W. Cottrell, Javier R. Movellan:
Visual saliency model for robot cameras. ICRA 2008: 2398-2403 - [c30]Tim K. Marks, Andrew Howard, Max Bajracharya, Garrison W. Cottrell, Larry H. Matthies:
Gamma-SLAM: Using stereo vision and variance grid maps for SLAM in unstructured environments. ICRA 2008: 3717-3724 - 2007
- [j20]Jonathan D. Nelson, Garrison W. Cottrell:
A probabilistic model of eye movements in concept formation. Neurocomputing 70(13-15): 2256-2272 (2007) - [j19]Matthew H. Tong, Adam D. Bickett, Eric M. Christiansen, Garrison W. Cottrell:
Learning grammatical structure with Echo State Networks. Neural Networks 20(3): 424-432 (2007) - 2006
- [j18]Hiroshi Inazawa, Garrison W. Cottrell:
Phase space learning in an autonomous dynamical neural network. Neurocomputing 69(16-18): 2340-2345 (2006) - [c29]Honghao Shan, Lingyun Zhang, Garrison W. Cottrell:
Recursive ICA. NIPS 2006: 1273-1280 - 2003
- [j17]Bruno Rossion, Carrie A. Joyce, Garrison W. Cottrell, Michael J. Tarr:
Early lateralization and orientation tuning for face, word, and object processing in the visual cortex. NeuroImage 20(3): 1609-1624 (2003) - [c28]Eric Wiewiora, Garrison W. Cottrell, Charles Elkan:
Principled Methods for Advising Reinforcement Learning Agents. ICML 2003: 792-799 - 2002
- [j16]Adam L. Taylor, Garrison W. Cottrell, William B. Kristan Jr.:
Analysis of Oscillations in a Reciprocally Inhibitory Network with Synaptic Depression. Neural Comput. 14(3): 561-581 (2002) - 2000
- [j15]Adam L. Taylor, Garrison W. Cottrell, William B. Kristan Jr.:
A model of the leech segmental swim central pattern generator. Neurocomputing 32-33: 573-584 (2000) - [c27]Mark A. Smith, Garrison W. Cottrell, Karen L. Anderson:
The Early Word Catches the Weights. NIPS 2000: 52-58
1990 – 1999
- 1999
- [j14]Christopher C. Vogt, Garrison W. Cottrell:
Fusion Via a Linear Combination of Scores. Inf. Retr. 1(3): 151-173 (1999) - [j13]Matthew N. Dailey, Garrison W. Cottrell:
Organization of face and object recognition in modular neural network models. Neural Networks 12(7-8): 1053-1074 (1999) - 1998
- [j12]Brian T. Bartell, Garrison W. Cottrell, Richard K. Belew:
Optimizing Similarity Using Multi-Query Relevance Feedback. J. Am. Soc. Inf. Sci. 49(8): 742-761 (1998) - [c26]William C. Morris, Garrison W. Cottrell, Jeffrey L. Elman:
A Connectionist Simulation of the Empirical Acquisition of Grammatical Relations. Hybrid Neural Systems 1998: 175-193 - [c25]Matthew N. Dailey, Garrison W. Cottrell, Thomas A. Busey:
Facial Memory Is Kernel Density Estimation (Almost). NIPS 1998: 24-30 - [c24]Christopher C. Vogt, Garrison W. Cottrell:
Predicting the Performance of Linearly Combined IR Systems. SIGIR 1998: 190-196 - 1997
- [j11]Mai H. Nguyen, Garrison W. Cottrell:
Tau Net A neural network for modeling temporal variability. Neurocomputing 15(3-4): 249-271 (1997) - [j10]Daniel S. Clouse, C. Lee Giles, Bill G. Horne, Garrison W. Cottrell:
Time-delay neural networks: representation and induction of finite-state machines. IEEE Trans. Neural Networks 8(5): 1065-1070 (1997) - [c23]Matthew N. Dailey, Garrison W. Cottrell:
Task and Spatial Frequency Effects on Face Specialization. NIPS 1997: 17-23 - [c22]Jeanne C. Milostan, Garrison W. Cottrell:
Serial Order in Reading Aloud: Connectionist Models and Neighborhood Structure. NIPS 1997: 59-65 - [c21]Christopher C. Vogt, Garrison W. Cottrell:
Fusion Via Linear Combination for the Routing Problem. TREC 1997: 661-666 - 1996
- [j9]Garrison W. Cottrell:
HUMOUR: Degenerative Grammar: The Story of Outa. Connect. Sci. 8(1): 153-154 (1996) - [j8]Mark Plutowski, Garrison W. Cottrell, Halbert White:
Experience with selecting exemplars from clean data. Neural Networks 9(2): 273-294 (1996) - [c20]Daniel S. Clouse, C. Lee Giles, Bill G. Horne, Garrison W. Cottrell:
Representation and Induction of Finite State Machines using Time-Delay Neural Networks. NIPS 1996: 403-409 - [c19]Curtis Padgett, Garrison W. Cottrell:
Representing Face Images for Emotion Classification. NIPS 1996: 894-900 - [c18]Christopher C. Vogt, Garrison W. Cottrell, Richard K. Belew, Brian T. Bartell:
Using Relevance to Train a Linear Mixture of Experts. TREC 1996 - 1995
- [j7]Garrison W. Cottrell:
Programming the User-friendly Dog. Connect. Sci. 7(3-4): 341-342 (1995) - [j6]Fu-Sheng Tsung, Garrison W. Cottrell:
Learning in recurrent finite difference networks. Int. J. Neural Syst. 6(3): 249-256 (1995) - [j5]Brian T. Bartell, Garrison W. Cottrell, Richard K. Belew:
Representing Documents Using an Explicit Model of Their Similarities. J. Am. Soc. Inf. Sci. 46(4): 254-271 (1995) - 1994
- [j4]Garrison W. Cottrell, Kim Plunkett:
Acquiring the Mapping from Meaning to Sounds. Connect. Sci. 6(4): 379-412 (1994) - [j3]Dominique Valentin, Hervé Abdi, Alice J. O'Toole, Garrison W. Cottrell:
Connectionist models of face processing: A survey. Pattern Recognit. 27(9): 1209-1230 (1994) - [j2]Mai H. Nguyen, Garrison W. Cottrell:
A Connectionist Approach to Rate Adaptation. SIGART Bull. 5(3): 29-35 (1994) - [c17]David C. Noelle, Garrison W. Cottrell:
Integrating Induction & Instruction: Connectionist Advice Taking. AAAI 1994: 1481 - [c16]Fu-Sheng Tsung, Garrison W. Cottrell:
Phase-Space Learning. NIPS 1994: 481-488 - [c15]Brian T. Bartell, Garrison W. Cottrell, Richard K. Belew:
Automatic Combination of Multiple Ranked Retrieval Systems. SIGIR 1994: 173-181 - 1993
- [j1]Garrison W. Cottrell, Mai H. Nguyen, Fu-Sheng Tsung:
Dynamic rate adaptation. Artif. Intell. Rev. 7(5): 271-283 (1993) - [c14]Fu-Sheng Tsung, Garrison W. Cottrell:
Hopf bifurcation and Hopf hopping in recurrent nets. ICNN 1993: 39-45 - [c13]Mark Plutowski, Garrison W. Cottrell, Halbert White:
Learning Mackey-Glass from 25 Examples, Plus or Minus 2. NIPS 1993: 1135-1142 - 1992
- [c12]David DeMers, Garrison W. Cottrell:
Non-Linear Dimensionality Reduction. NIPS 1992: 580-587 - [c11]Brian T. Bartell, Garrison W. Cottrell, Richard K. Belew:
Latent Semantic Indexing is an Optimal Special Case of Multidimensional Scaling. SIGIR 1992: 161-167 - 1990
- [c10]M. K. Fleming, Garrison W. Cottrell:
Categorization of faces using unsupervised feature extraction. IJCNN 1990: 65-70 - [c9]Fu-Sheng Tsung, Garrison W. Cottrell, Allen I. Selverston:
Some experiments on learning stable network oscillations. IJCNN 1990: 169-174 - [c8]Garrison W. Cottrell, Brian T. Bartell, Christopher Haupt:
Grounding Meaning in Perception. GWAI 1990: 307-321 - [c7]Garrison W. Cottrell, Janet Metcalfe:
EMPATH: Face, Emotion, and Gender Recognition Using Holons. NIPS 1990: 564-571