HYPER: A New Approach for the Recognition and Positioning of Two-Dimensional Objects
IEEE Transactions on Pattern Analysis and Machine Intelligence
Estimation of Object Motion Parameters from Noisy Images
IEEE Transactions on Pattern Analysis and Machine Intelligence
A massively parallel architecture for a self-organizing neural pattern recognition machine
Computer Vision, Graphics, and Image Processing
The computational brain
Recursive 3-D Road and Relative Ego-State Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence - Special issue on interpretation of 3-D scenes—part II
Simplifying neural networks by soft weight-sharing
Neural Computation
An introduction to Kolmogorov complexity and its applications
An introduction to Kolmogorov complexity and its applications
Active vision
Regularization theory and neural networks architectures
Neural Computation
A multiple cause mixture model for unsupervised learning
Neural Computation
Neural Computation
An active vision architecture based on iconic representations
Artificial Intelligence - Special volume on computer vision
Varieties of Helmholtz machine
Neural Networks - 1996 Special issue: four major hypotheses in neuroscience
Stochastic Complexity in Statistical Inquiry Theory
Stochastic Complexity in Statistical Inquiry Theory
A Class of Stochastic Models for Invariant Recognition, Motion, and Stereo
A Class of Stochastic Models for Invariant Recognition, Motion, and Stereo
Dynamic Model of Visual Memory Pedicts Neural Response Properties in the Visual Cortex
Dynamic Model of Visual Memory Pedicts Neural Response Properties in the Visual Cortex
A minimum description length framework for unsupervised learning
A minimum description length framework for unsupervised learning
Competition and multiple cause models
Neural Computation
Mean field theory for sigmoid belief networks
Journal of Artificial Intelligence Research
IEEE Transactions on Image Processing
A hierarchical model of binocular rivalry
Neural Computation
Machine Learning - Special issue on learning in autonomous robots
Modeling and prediction of human behavior
Neural Computation
Recurrent sampling models for the Helmholtz machine
Neural Computation
Recognition without Correspondence using MultidimensionalReceptive Field Histograms
International Journal of Computer Vision
Predictive Coding in the Visual Cortex by a Recurrent Network with Gabor Receptive Fields
Neural Processing Letters
Dynamic Learning with the EM Algorithm for Neural Networks
Journal of VLSI Signal Processing Systems
Emergence of modularity within one sheet of neurons: a model comparison
Emergent neural computational architectures based on neuroscience
Emergence of Modularity within One Sheet of Neurons: A Model Comparison
Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing
Bayesian computation in recurrent neural circuits
Neural Computation
Kalman filter control embedded into the reinforcement learning framework
Neural Computation
Learning Feature Characteristics
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 2 - Volume 2
A Formal Model for Video Shot Segmentation and its Application via Animate Vision
Multimedia Tools and Applications
Perceptual grouping and the interactions between visual cortical areas
Neural Networks - 2004 Special issue Vision and brain
Optimal Smoothing in Visual Motion Perception
Neural Computation
Temporal Difference Model Reproduces Anticipatory Neural Activity
Neural Computation
Spike-Timing-Dependent Hebbian Plasticity as Temporal Difference Learning
Neural Computation
Probabilistic Motion Estimation Based on Temporal Coherence
Neural Computation
A hybrid generative and predictive model of the motor cortex
Neural Networks
Construction of Robot Intra-modal and Inter-modal Coordination Skills by Developmental Learning
Journal of Intelligent and Robotic Systems
Visual Recognition and Inference Using Dynamic Overcomplete Sparse Learning
Neural Computation
A sparse generative model of v1 simple cells with intrinsic plasticity
Neural Computation
Neural network learning of optimal Kalman prediction and control
Neural Networks
Adaptive synchronization of activities in a recurrent network
Neural Computation
A computational model of the cerebral cortex
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Neural learning of Kalman filtering, Kalman control, and system identification
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
Neurocomputing
Adaptive feedback inhibition improves pattern discrimination learning
ANNPR'06 Proceedings of the Second international conference on Artificial Neural Networks in Pattern Recognition
Journal of Cognitive Neuroscience
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