Computer vision - Mathematical models.

Hidden Markov models :applications in computer vision / by: (書目-語言資料,印刷品)

Natural image statisticsa probabilistic approach to early computational vision / by: (書目-電子資源)

Graph-based methods in computer visiondevelopments and applications / by: (書目-電子資源)

Tracking with particle filter for high-dimensional observation and state spaces by: (書目-電子資源)

A guide to convolutional neural networks for computer vision by: (書目-電子資源)

Multi-level bayesian models for environment perception by: (書目-電子資源)

Handbook of mathematical models and algorithms in computer vision and imagingmathematical imaging and vision / by: (書目-電子資源)

Signal, Image and Speech Processing.

Graph theory.

Pattern recognition systems.

Particle methods (Numerical analysis)

Computer Vision.

Markov processes.

Convolutions (Mathematics)

Stochastic Processes.

Geographical Information System.

Computer vision

Pattern recognition systems

Statistical Theory and Methods.

Neural networks (Computer science)

Diagnostic imaging

Analysis.

Optical pattern recognition

Computer vision.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Markov Process.

Computational Mathematics and Numerical Analysis.

Optimization.

Computer Science.

Neurosciences.

Bayesian statistical decision theory.

Mathematical models.

Image processing

Bayesian Inference.

Mathematical optimization.

Mathematical Models of Cognitive Processes and Neural Networks.