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Book
This is an introductory book about machine learning. Notice that this is a draft book. It may contain typos, mistakes, etc.
The book covers the following topics: Boolean Functio...
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Book
"Pattern recognition techniques are concerned with the theory and algorithms of putting abstract objects, e.g., measurements made on physical objects, into categories. Typical...
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Book
OpenCV is a C/C++ computer vision library originally developed by Intel. It is free for commercial and research use under a BSD license. The library is cross-platform.
It is highl...
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Source Code
VXL is a collection of C++ libraries designed for computer vision research and implementation. VXL is written in ANSI/ISO C++ and is designed to be portable over many platforms. Th...
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Book
Markov random field (MRF) theory provides a basis for modeling contextual constraints in visual processing and interpretation. It enables us to develop optimal vision algorithms sy...
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Book
The book covers several image analysis and computer vision techniques such as filtering, deconvolution, edge detection, segmentation, etc, with applications to astronomical data.
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Book
The book covers the fundamental techniques of computer vision such as template matching, segmentation, edge detection, convolution, etc
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Tutorial
This tutorial was held within the Maths Club at the University of Leeds
Topics covered (briefly):
Monte Carlo Integration
Markov Chain
Markov Chain Monte Carlo Sampling
Metrop...