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ORCIDGarrison W. Cottrell
Gary Cottrell
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- affiliation: University of California, San Diego, USA
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2020 – today
- 2024
[j35]Qianli Ma
, Jiawei Zheng, Sen Li, Zhenjing Zheng, Sen Li, Garrison W. Cottrell:
Learning consensus representations in multi-latent spaces for multi-view clustering. Neurocomputing 596: 127899 (2024)- [c88]Md. Mehrab Tanjim, Krishna Kumar Singh, Kushal Kafle, Ritwik Sinha, Garrison W. Cottrell:
Discovering and Mitigating Biases in CLIP-based Image Editing. WACV 2024: 2972-2981 - 2023
- [j34]Hyun Woo Kim, Chen Zhang, Raphael Reher, Mingxun Wang, Kelsey L. Alexander, Louis-Félix Nothias, Yoo Kyong Han, Hyeji Shin, Ki Yong Lee, Kyu Hyeong Lee, Myeong Ji Kim, Pieter C. Dorrestein, William H. Gerwick, Garrison W. Cottrell:
DeepSAT: Learning Molecular Structures from Nuclear Magnetic Resonance Data. J. Cheminformatics 15(1): 71 (2023) - [j33]Jaspreet Kaur Bhamra, Shreyas Anantha Ramaprasad, Siddhant Baldota, Shane Luna, Eugene Zen, Ravi Ramachandra, Harrison Kim, Chris Schmidt, Chris Arends, Jessica Block, Ismael Pérez, Daniel Crawl, Ilkay Altintas, Garrison W. Cottrell, Mai H. Nguyen:
Multimodal Wildland Fire Smoke Detection. Remote. Sens. 15(11): 2790 (2023) - [c87]Martha Gahl, Shubham Kulkarni, Nikhil Pathak, Alex Russell, Garrison W. Cottrell:
Visual Expertise Explains Image Inversion Effects. UniReps 2023: 279-290 - 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) - [c86]Md. Mehrab Tanjim, Krishna Kumar Singh, Kushal Kafle, Ritwik Sinha, Garrison W. Cottrell:
Debiasing Image-to-Image Translation Models. BMVC 2022: 182 - [c85]Yung-Chieh Chan, Jerry Zhang, Katie Frizzi, Nigel Calcutt, Garrison W. Cottrell:
Automated Skin Biopsy Analysis with Limited Data. MILLanD@MICCAI 2022: 229-238 - [c84]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 - [i25]Siddhant Baldota, Shreyas Anantha Ramaprasad, Jaspreet Kaur Bhamra, Shane Luna, Ravi Ramachandra, Eugene Zen, Harrison Kim, Daniel Crawl, Ismael Pérez, Ilkay Altintas, Garrison W. Cottrell, Mai H. Nguyen:
Multimodal Wildland Fire Smoke Detection. CoRR abs/2212.14143 (2022) - 2021
- [c83]Qianli Ma, Chuxin Chen, Sen Li, Garrison W. Cottrell:
Learning Representations for Incomplete Time Series Clustering. AAAI 2021: 8837-8846 - [c82]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 - [c81]Zhengjie Xu, Zixiang Zhou, Garrison W. Cottrell, Mai H. Nguyen:
Generalization in Cardiac Image Segmentation. IEEE BigData 2021: 2838-2847 - [c80]Thomas Bachlechner, Bodhisattwa Prasad Majumder, Huanru Henry Mao, Gary Cottrell, Julian J. McAuley:
ReZero is all you need: fast convergence at large depth. UAI 2021: 1352-1361 - [i24]Anshuman Dewangan, Yash Pande, Hans-Werner Braun, Frank Vernon, Ismael Pérez, Ilkay Altintas, Gary Cottrell, Mai H. Nguyen:
FIgLib & SmokeyNet: Dataset and Deep Learning Model for Real-Time Wildland Fire Smoke Detection. CoRR abs/2112.08598 (2021) - 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) - [c79]Qianli Ma, Zhenxi Lin, Enhuan Chen, Garrison W. Cottrell:
Temporal Pyramid Recurrent Neural Network. AAAI 2020: 5061-5068 - [c78]Qianli Ma, Wanqing Zhuang, Sen Li, Desen Huang, Garrison W. Cottrell:
Adversarial Dynamic Shapelet Networks. AAAI 2020: 5069-5076 - [c77]Md. Mehrab Tanjim, Hammad A. Ayyubi, Garrison W. Cottrell:
DynamicRec: A Dynamic Convolutional Network for Next Item Recommendation. CIKM 2020: 2237-2240 - [c76]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 - [c75]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 - [c74]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 - [c73]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 - [c72]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) - [c71]Chad Atalla, Amanda Song, Garrison W. Cottrell:
Modifying social dimensions of human faces with ModifAE. CogSci 2019: 105-111 - [c70]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 - [c69]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 - [c68]Qianli Ma, Wanqing Zhuang, Garrison W. Cottrell:
Triple-Shapelet Networks for Time Series Classification. ICDM 2019: 1246-1251 - [c67]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 - [c66]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) - [c65]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 - [c64]Huanru Henry Mao, Taylor Shin, Garrison W. Cottrell:
DeepJ: Style-Specific Music Generation. ICSC 2018: 377-382 - [c63]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) - [c62]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 - [c61]Vishaal Prasad, Benjamin Cipollini, Garrison W. Cottrell:
Categorical vs Coordinate Relationships do not reduce to spatial frequency differences. CogSci 2017 - [c60]Amanda Song, Linjie Li, Chad Atalla, Gary Cottrell:
Learning to See People like People: Predicting Social Perceptions of Faces. CogSci 2017 - [c59]Yufei Wang, Zhe Lin, Xiaohui Shen, Scott Cohen, Garrison W. Cottrell:
Skeleton Key: Image Captioning by Skeleton-Attribute Decomposition. CVPR 2017: 7378-7387 - [c58]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 - [c57]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 - [c56]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) - [c55]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 - [c54]Amanda Song, Linjie Li, Vicente L. Malave, Gary Cottrell, Angela J. Yu:
Understanding human facial attractiveness from multiple views. CogSci 2016 - [c53]Panqu Wang, Garrison W. Cottrell:
Modeling the Contribution of Central Versus Peripheral Vision in Scene, Object, and Face Recognition. CogSci 2016 - [c52]Sandy Wiraatmadja, Garrison W. Cottrell:
Modeling the Visual Word Form Area Using a Deep Convolutional Neural Network. CogSci 2016 - [c51]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
- [c50]Bob French, Helle Lukowski-Duplessy, Cory A. Rieth, Gary Cottrell:
Turn, Turn, Turn: Perceiving Global and Local, Clockwise and Counterclockwise Rotations. CogSci 2015 - [c49]Panqu Wang, Garrison W. Cottrell, Christopher Kanan:
Modeling the Object Recognition Pathway: A Deep Hierarchical Model Using Gnostic Fields. CogSci 2015 - [c48]Yufei Wang, Garrison W. Cottrell:
Bikers Are Like Tobacco Shops, Formal Dressers Are Like Suits: Recognizing Urban Tribes with Caffe. WACV 2015: 876-883 - [c47]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
- [c46]Benjamin Cipollini, Garrison W. Cottrell:
A Developmental Model of Hemispheric Asymmetry of Spatial Frequencies. CogSci 2014 - [c45]Bob French, Gary Cottrell:
TRACX 2.0: A memory-based, biologically-plausible model of sequence segmentation and chunk extraction. 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
1980 – 1989
- 1988
- [c6]Garrison W. Cottrell, Pradip Dey, Joachim Diederich, Peter A. Reich, Lokendra Shastri, Akinori Yonezawa:
Parallel processing in computational linguistics. COLING 1988: 595-598 - 1987
- [c5]Garrison W. Cottrell:
Toward Connectionist Semantics. TINLAP 1987: 65-70 - 1985
- [c4]Garrison W. Cottrell:
Parallelism in Inheritance Hierarchies with Exceptions. IJCAI 1985: 194-202 - 1984
- [c3]Garrison W. Cottrell:
A Model of Lexical Access of Ambiguous Words. AAAI 1984: 61-67 - [c2]Garrison W. Cottrell:
Re: Inheritance Hierarchies with Exceptions. NMR 1984: 33-56 - 1982
- [c1]Steven L. Small, Garrison W. Cottrell, Lokendra Shastri:
Toward Connectionist Parsing. AAAI 1982: 247-250
Coauthor Index
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