Computer vision - Mathematical models.

Hidden Markov models : = applications in computer vision / by: (Language materials, printed)

Natural image statistics = a probabilistic approach to early computational vision / by: (Language materials, printed)

A Computational perspective on visual attention / by: (Language materials, printed)

Graph-based methods in computer vision = developments and applications / by: (Electronic resources)

Multi-level bayesian models for environment perception by: (Electronic resources)

Handbook of mathematical models and algorithms in computer vision and imaging = mathematical imaging and vision / by: (Electronic resources)

Tracking with particle filter for high-dimensional observation and state spaces by: (Electronic resources)

A guide to convolutional neural networks for computer vision by: (Electronic resources)

Signal, Image and Speech Processing.

Graph theory.

Pattern recognition systems.

Particle methods (Numerical analysis)

Computer Vision.

Markov processes.

Image processing- Mathematical models.

Vision.

Attention- Mathematical models.

Convolutions (Mathematics)

Stochastic Processes.

Geographical Information System.

Visual perception- Mathematical models.

Statistical Theory and Methods.

Neural networks (Computer science)

Pattern recognition systems- Mathematical models.

Analysis.

Optical pattern recognition- Mathematical models.

Computer vision.

Diagnostic imaging- Mathematical models.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Markov Process.

Computational Mathematics and Numerical Analysis.

Optimization.

Computer vision- Mathematical models.

Computer Science.

Neurosciences.

Bayesian statistical decision theory.

Mathematical models.

Bayesian Inference.

Mathematical optimization.

Mathematical Models of Cognitive Processes and Neural Networks.