Optimal, unsupervised learning in invariant object recognition
Neural Computation
Transform-invariant recognition by association in a recurrent network
Neural Computation
Learning Synaptic Clusters for Nonlinear Dendritic Processing
Neural Processing Letters
Slow feature analysis: unsupervised learning of invariances
Neural Computation
Preintegration lateral inhibition enhances unsupervised learning
Neural Computation
Receptive Fields Similar to Simple Cells Maximize Temporal Coherence in Natural Video
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Novelty Detection in Video Surveillance Using Hierarchical Neural Networks
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Learning Multiple Feature Representations from Natural Image Sequences
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
ICANN '02 Proceedings of the International Conference on Artificial Neural Networks
Extracting Slow Subspaces from Natural Videos Leads to Complex Cells
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Active and Adaptive Vision: Neural Network Models
BMVC '00 Proceedings of the First IEEE International Workshop on Biologically Motivated Computer Vision
An Adaptive Hierarchical Model of the Ventral Visual Pathway Implemented on a Mobile Robot
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Unsupervised Learning of Visual Structure
BMCV '02 Proceedings of the Second International Workshop on Biologically Motivated Computer Vision
Learning the nonlinearity of Neurons from natural visual stimuli
Neural Computation
Neural Networks - 2003 Special issue: Advances in neural networks research — IJCNN'03
Slow feature analysis: a theoretical analysis of optimal free responses
Neural Computation
Recognition invariance obtained by extended and invariant features
Neural Networks - 2004 Special issue Vision and brain
Learning Viewpoint Invariant Perceptual Representations from Cluttered Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bilinear Sparse Coding for Invariant Vision
Neural Computation
Perceptual History Influences Neural Responses to Face and Body Postures
Journal of Cognitive Neuroscience
A Maximum-Likelihood Interpretation for Slow Feature Analysis
Neural Computation
Information maximization in face processing
Neurocomputing
Learning the Lie Groups of Visual Invariance
Neural Computation
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
Neural Computation
Removing time variation with the anti-hebbian differential synapse
Neural Computation
A canonical neural circuit for cortical nonlinear operations
Neural Computation
Connection Science
Unsupervised slow subspace-learning from stationary processes
Theoretical Computer Science
Invariant Object Recognition with Slow Feature Analysis
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Selective Attention in the Learning of Viewpoint and Position Invariance
Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint
On the prospects for building a working model of the visual cortex
AAAI'07 Proceedings of the 22nd national conference on Artificial intelligence - Volume 2
Learning from Examples to Generalize over Pose and Illumination
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Slow feature discriminant analysis and its application on handwritten digit recognition
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Nonlinear dimensionality reduction using a temporal coherence principle
Information Sciences: an International Journal
Regularized sparse Kernel slow feature analysis
ECML PKDD'11 Proceedings of the 2011 European conference on Machine learning and knowledge discovery in databases - Volume Part I
Sensing with artificial tactile sensors: an investigation of spatio-temporal inference
TAROS'11 Proceedings of the 12th Annual conference on Towards autonomous robotic systems
Learning image transformations without training examples
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part II
Gates for handling occlusion in Bayesian models of images: an initial study
KI'11 Proceedings of the 34th Annual German conference on Advances in artificial intelligence
Invariant object recognition and pose estimation with slow feature analysis
Neural Computation
Unsupervised slow subspace-learning from stationary processes
ALT'06 Proceedings of the 17th international conference on Algorithmic Learning Theory
Learning features of intermediate complexity for the recognition of biological motion
ICANN'05 Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I
Attractor memory with self-organizing input
BioADIT'06 Proceedings of the Second international conference on Biologically Inspired Approaches to Advanced Information Technology
Dynamic inputs and attraction force analysis for visual invariance and transformation estimation
ICNC'05 Proceedings of the First international conference on Advances in Natural Computation - Volume Part I
Learning of position-invariant object representation across attention shifts
WAPCV'04 Proceedings of the Second international conference on Attention and Performance in Computational Vision
Neural coding strategies and mechanisms of competition
Cognitive Systems Research
Hebbian learning of recurrent connections: A geometrical perspective
Neural Computation
Learning representations for animated motion sequence and implied motion recognition
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Learning features and predictive transformation encoding based on a horizontal product model
ICANN'12 Proceedings of the 22nd international conference on Artificial Neural Networks and Machine Learning - Volume Part I
Learning temporal coherent features through life-time sparsity
ICONIP'12 Proceedings of the 19th international conference on Neural Information Processing - Volume Part I
Combining Spatial Proximity and Temporal Continuity for Learning Invariant Representations
ASONAM '12 Proceedings of the 2012 International Conference on Advances in Social Networks Analysis and Mining (ASONAM 2012)
Construction of approximation spaces for reinforcement learning
The Journal of Machine Learning Research
Improved sparse coding under the influence of perceptual attention
Neural Computation
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