Global Optimization Algorithms – Theory and Application Author : Thomas Weise, University of Kassel Publication Date : July 11, 2007 Free License : GNU Free Documentation License, Version 1.2
Introduction to Modern Cryptography Author(s) : Mihir Bellare and Phillip Rogaway, Department of Computer Science and Engineering, University of California Publication Date : September 2005
An Introduction to Information Retrieval Authors : Christopher D. Manning, Prabhakar Raghavan and Hinrich Schütze Publisher : Cambridge University Press Publication Date : 2008
Image Processing and Data Analysis: The Multiscale Approach Author(s) : Jean-Luc Starck, Fionn D. Murtagh, Albert Bijaoui ISBN : 0521599148 Pages : 297 Publication Date : July 1998 Publisher: Cambridge University Press
Neural Networks – A Systematic Introduction Author : Raul Rojas ISBN : 3540605053 Pages : 502 Publication date : July 12, 1996 Publisher : Springer
Introduction to Machine Learning Author : Nils J. Nilsson, Artificial Intelligence Laboratory, Department of Computer Science, Stanford University Working Draft : September 1996
Reinforcement Learning: An Introduction Authors : Richard S. Sutton, Department of Computing Science, University of Alberta and Andrew G. Barto, Department of Computer Science, University of Massachusetts Amherst ISBN : 0262193981 Pages : 432 Publisher : The MIT Press Publication Date : 1998
Gaussian Processes for Machine Learning Authors : Carl Edward Rasmussen and Christopher K. I. Williams ISBN : 0-262-18253-X Publisher : The MIT Press Publication Date : 2006
Markov Chains and Stochastic Stability Authors : Sean Meyn, Dept. of Electrical and Computer Engineering, University of Illinois and Richard Tweedie, Division of Biostatistics, University of Minnesota ISBN : 0387198326 Pages : 548 Publication Date : 1993, recompiled September 2005 Publisher : Springer-Verlag
Introduction to Probability This introductory probability book, published by the American Mathematical Society, is available from AMS bookshop. It has, since publication, also been available for download here in pdf format. We are pleased that this has made our book more widely available.
Recent Advances in Face Recognition, by Kresimir Delac, Mislav Grgic and Marian Stewart Bartlett The main idea and the driver of further research in the area of face recognition are security applications and human-computer interaction. Face recognition represents an intuitive and non-intrusive method of recognizing people and this is why it became one of three [...]
By Steven M. LaValle, Copyright 2006 Cambridge University Press, 842 pages The whole book in HTML Courses that use the book BibTeX file for all 1005 references (edited by J. O’Kane) This book presents a unified treatment of many different kinds of planning algorithms. The subject lies at the crossroads between robotics, control theory, artificial [...]
Intelligent Vision Systems for Industry, by B.G. Batchelor and P.F. Whelan B.G. Batchelor and P.F. Whelan Intelligent Vision Systems for Industry © Bruce G. Batchelor, Paul F. Whelan 2002 Previously published in hardback by Springer-Verlag (ISBN 3-540-19969-1) in 1997.
Computer Vision, by Ballard and Brown’s This restoration of Dana Ballard and Chris Brown’s famous Computer Vision textbook was funded by the British Machine Vision Association and the EU’s ECVision Network on Cognitive Computer Vision. Many thanks to Martin Groeger (German Aerospace Center, DLR) for assembling the individual PDF files into a complete book. You [...]
Active Contours, by Andrew Blake and Michael Isard Active Contours is about the computer analysis of moving video images. It develops geometric and probabilistic models for shapes and their dynamics. The models are applied to the real-time analysis of shapes in motion, and addresses issues of learning, temporal filtering and the problems of visual clutter. [...]
Understanding Calculus By: Faraz Hussain Duke University ’98 BS Civil Engineering , Minor English University of Illinois – Urbana Champaign ’00 MS Structural Engineering Copyright 2007 – Faraz Hussain All Rights Reserved
Linear Systems and Optimization | Introduction to Linear Dynamical Systems Instructor: Boyd, Stephen Course from : Standford Engineering Everywhere
Linear Systems and Optimization | The Fourier Transform and its Applications Instructor: Osgood, Brad G Course from : Stanford engineering everywhere
There is no excerpt because this is a protected post.