Pattern recognition: human and mechanical
Pattern recognition: human and mechanical
Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Feature discovery by competitive learning
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Discovering discrete distributed representations with iterative competitive learning
NIPS-3 Proceedings of the 1990 conference on Advances in neural information processing systems 3
Redundancy reduction as a strategy for unsupervised learning
Neural Computation
Learning factorial codes by predictability minimization
Neural Computation
What is the goal of sensory coding?
Neural Computation
Independent component analysis, a new concept?
Signal Processing - Special issue on higher order statistics
A multiple cause mixture model for unsupervised learning
Neural Computation
Discriminant Adaptive Nearest Neighbor Classification
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Computation
Sparse coding in the primate cortex
The handbook of brain theory and neural networks
Exploiting Context When Learning to Classify
ECML '93 Proceedings of the European Conference on Machine Learning
Second Order Derivatives for Network Pruning: Optimal Brain Surgeon
Advances in Neural Information Processing Systems 5, [NIPS Conference]
Non-Linear Dimensionality Reduction
Advances in Neural Information Processing Systems 5, [NIPS Conference]
Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain
Advances in Neural Information Processing Systems 5, [NIPS Conference]
Square Unit Augmented, Radially Extended, Multilayer Perceptrons
Neural Networks: Tricks of the Trade, this book is an outgrowth of a 1996 NIPS workshop
Unsupervised Coding with LOCOCODE
ICANN '97 Proceedings of the 7th International Conference on Artificial Neural Networks
A minimum description length framework for unsupervised learning
A minimum description length framework for unsupervised learning
A theory of the visual motion coding in the primary visual cortex
Neural Computation
Semilinear predictability minimization produces well-known feature detectors
Neural Computation
Competition and multiple cause models
Neural Computation
Preintegration lateral inhibition enhances unsupervised learning
Neural Computation
Hierarchial self-organization of minicolumnar receptive fields
Neural Networks - 2004 Special issue: New developments in self-organizing systems
Complexity Pursuit: Separating Interesting Components from Time Series
Neural Computation
Learning Image Components for Object Recognition
The Journal of Machine Learning Research
gpICA: a novel nonlinear ICA algorithm using geometric linearization
EURASIP Journal on Applied Signal Processing
Maximal Causes for Non-linear Component Extraction
The Journal of Machine Learning Research
Frequent variable sets based clustering for artificial neural networks particle classification
APWeb/WAIM'07 Proceedings of the joint 9th Asia-Pacific web and 8th international conference on web-age information management conference on Advances in data and web management
Generalized softmax networks for non-linear component extraction
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Expectation Truncation and the Benefits of Preselection In Training Generative Models
The Journal of Machine Learning Research
Stacked convolutional auto-encoders for hierarchical feature extraction
ICANN'11 Proceedings of the 21th international conference on Artificial neural networks - Volume Part I
Sparse and silent coding in neural circuits
Neurocomputing
Deep unsupervised feature learning for natural language processing
NAACL HLT '12 Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies: Student Research Workshop
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