Blog about NLP using resonating neural networks.

Graphical models, variational methods, pattern recognition.

Computer vision, model-based object recognition, face recognition.

Neural network models of learning and memory, computational neuroscience, unsupervised learning in perceptual systems.

Bayesian inference, variational methods, graphical models, nonparametric Bayes.

Visual perception with neural networks.

Machine learning, kernel methods, kernel independent component analysis and graphical models

Graphical models, variational Bayes, independent factor analysis.

Computational learning theory, discrete mathematics.

Particle filtering and Monte Carlo Markov Chain methods.

Data structures for computational intelligence.

Neural network learning, information geometry.

Computer vision, probabilistic models for image sequences, invariant features.

Visual perception, machine vision, image processing.