Using Generative Models for Handwritten Digit Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A hierarchical model of binocular rivalry
Neural Computation
Efficient learning in Boltzmann machines using linear response theory
Neural Computation
An energy function and continuous edit process for graph matching
Neural Computation
Probability density estimation using entropy maximization
Neural Computation
Variational learning in nonlinear Gaussian belief networks
Neural Computation
Neural Computation
Recurrent sampling models for the Helmholtz machine
Neural Computation
An Introduction to Variational Methods for Graphical Models
Machine Learning
Bidirectional Deformable Matching with Application to Handwritten Character Extraction
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning the parts of objects by auto-association
Neural Networks
Combining Belief Networks and Neural Networks for Scene Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Emergence of modularity within one sheet of neurons: a model comparison
Emergent neural computational architectures based on neuroscience
Bayesian Evolutionary Optimization Using Helmholtz Machines
PPSN VI Proceedings of the 6th International Conference on Parallel Problem Solving from Nature
Synthesizing Graphical Models Employing Explaining Away
PPSN VII Proceedings of the 7th International Conference on Parallel Problem Solving from Nature
Ellipsoidal Bias in Learning Appearance-Based Recognition Functions
Proceedings of the 10th International Workshop on Theoretical Foundations of Computer Vision: Multi-Image Analysis
Topic Extraction from Text Documents Using Multiple-Cause Networks
PRICAI '02 Proceedings of the 7th Pacific Rim International Conference on Artificial Intelligence: Trends in Artificial Intelligence
Emergence of Modularity within One Sheet of Neurons: A Model Comparison
Emergent Neural Computational Architectures Based on Neuroscience - Towards Neuroscience-Inspired Computing
ICANN '01 Proceedings of the International Conference on Artificial Neural Networks
Sequential Bayesian decoding with a population of neurons
Neural Computation
Pulse-Based Circuits and Methods for Probabilistic Neural Computation
MICRONEURO '99 Proceedings of the 7th International Conference on Microelectronics for Neural, Fuzzy and Bio-Inspired Systems
Image Modeling with Position-Encoding Dynamic Trees
IEEE Transactions on Pattern Analysis and Machine Intelligence
A unified Bayesian framework for evolutionary learning and optimization
Advances in evolutionary computing
Think globally, fit locally: unsupervised learning of low dimensional manifolds
The Journal of Machine Learning Research
Bayesian computation in recurrent neural circuits
Neural Computation
Learning and inference in the brain
Neural Networks - Special issue: Neuroinformatics
Automatic Construction of Active Appearance Models as an Image Coding Problem
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image Parsing: Unifying Segmentation, Detection, and Recognition
International Journal of Computer Vision
Computing with Continuous Attractors: Stability and Online Aspects
Neural Computation
Separating Style and Content with Bilinear Models
Neural Computation
Attractor Dynamics in Feedforward Neural Networks
Neural Computation
2006 Special issue: Mirror neurons and imitation: A computationally guided review
Neural Networks - 2006 Special issue: The brain mechanisms of imitation learning
A hybrid generative and predictive model of the motor cortex
Neural Networks
Fine Discrimination of Faces can be Performed Rapidly
Journal of Cognitive Neuroscience
Images, Frames, and Connectionist Hierarchies
Neural Computation
Stable concurrent synchronization in dynamic system networks
Neural Networks
Minimax Entropy Principle and Its Application to Texture Modeling
Neural Computation
Factor Analysis Using Delta-Rule Wake-Sleep Learning
Neural Computation
Integration of Stochastic Models by Minimizing α-Divergence
Neural Computation
Hybrid modeling, hmm/nn architectures, and protein applications
Neural Computation
Competition and multiple cause models
Neural Computation
2009 Special Issue: Goal-directed control and its antipodes
Neural Networks
A new hypothesis for sleep: Tuning for criticality
Neural Computation
A computational model of the cerebral cortex
AAAI'05 Proceedings of the 20th national conference on Artificial intelligence - Volume 2
Mean field theory for sigmoid belief networks
Journal of Artificial Intelligence Research
2009 Special Issue: Cortical circuits for perceptual inference
Neural Networks
Cortical circuitry implementing graphical models
Neural Computation
Local learning in probabilistic networks with hidden variables
IJCAI'95 Proceedings of the 14th international joint conference on Artificial intelligence - Volume 2
Learning Deep Architectures for AI
Foundations and Trends® in Machine Learning
Minimal BSDT abstract selectional machines and their selectional and computational performance
IDEAL'07 Proceedings of the 8th international conference on Intelligent data engineering and automated learning
Bayesian Ying Yang system, best harmony learning, and Gaussian manifold based family
WCCI'08 Proceedings of the 2008 IEEE world conference on Computational intelligence: research frontiers
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Machine learning problems from optimization perspective
Journal of Global Optimization
Learning-based robot vision: principles and applications
Learning-based robot vision: principles and applications
Variational learning in mixed-state dynamic graphical models
UAI'99 Proceedings of the Fifteenth conference on Uncertainty in artificial intelligence
Recognition networks for approximate inference in BN20 networks
UAI'01 Proceedings of the Seventeenth conference on Uncertainty in artificial intelligence
Computing upper and lower bounds on likelihoods in intractable networks
UAI'96 Proceedings of the Twelfth international conference on Uncertainty in artificial intelligence
Object recognition via local patch labelling
Proceedings of the First international conference on Deterministic and Statistical Methods in Machine Learning
Attention Based Detection and Recognition of Hand Postures Against Complex Backgrounds
International Journal of Computer Vision
A fresh approach to vector graphics: technical perspective
Communications of the ACM
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