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Showing posts with label Artificial Intelligence. Show all posts
Showing posts with label Artificial Intelligence. Show all posts

Wednesday, July 29, 2009

Principles and Theory for Data Mining and Machine Learning-Submitted by 06SW12

Bertrand Clarke, Ernest Fokoue, Hao Helen Zhang, Principles and Theory for Data Mining and Machine Learning”"
Springer | 2009 | ISBN: 0387981349 | 798 pages | PDF | 8,1 MB

It’s time for a high math level treatment of the basic techniques that are on the interface of Stats and Compsci, or data mining and machine learning more specifically. People are using these techniques and really have little idea why they work, how they inter-relate with other techniques, and what their general properties are.

This is a more theoretical book on the same subject as the book on statistical learning by Hastie/Tibshirani/Friedman.

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Saturday, July 25, 2009

Fundamentals of computer Vision by Mubarak Shah-Submitted by 06SW12


This is course book which is mostly referred for the subject of Digital Image Processing or Computer Vision in most south asian institutes...

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Digital Image Processing-GonZeleZ


THE leader in the field for more than twenty years, this introduction to basic concepts and methodologies for digital image processing continues its cutting-edge focus on contemporary developments in all mainstream areas of image processing. Completely self-contained, heavily illustrated, and mathematically accessible, it has a scope of application that is not limited to the solution of specialized problems. Digital Image Fundamentals. Image Enhancement in the Spatial Domain. Image Enhancement in the Frequency Domain. Image Restoration. Color Image Processing. Wavelets and Multiresolution Processing. Image Compression. Morphological Image Processing. Image Segmentation. Representation and Description. Object Recognition. For technicians interested in the fundamentals and contemporary applications of digital imaging processing.


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Wednesday, March 4, 2009

MATLAB for NeuroScientists-Submitted by 06SW12

MATLAB for NeuroScientists-Submitted by 06SW12

  • Hardcover: 400 pages
  • Publisher: Academic Press; 1 edition (November 3, 2008)
  • Language: English
  • ISBN-10: 0123745519
Review
"The book is clear, cogent, and systematic. It provides much more than the essential nuts-and-bolts-it also leads the reader to learn to think about the empirical enterprise writ large...This book should be given a privileged spot on the bookshelf of every teacher, student, and researcher in the behavioral and cognitive sciences." - Stephen M. Kosslyn, John Lindsley Professor of Psychology, Dean of Social Science, Harvard University, Cambridge, MA, USA "This is an excellent book that should be on the desk of any neuroscientist or psychologist who wants to analyze and understand his or her own data by using MATLAB...Several books with MATLAB toolboxes exist; I find this one special both for its clarity and its focus on problems related to neuroscience and cognitive psychology." - Nikos Logothetis, Director, Max Planck Institute for Biological Cybernetics, Tubingen, Germany "MATLAB for Neuroscientists provides a unique and relatively comprehensive introduction to the MATLAB programming language in the context of brain sciences...The book would work well as a supplementary source for an introductory coursein computational analysis and modeling in visual neuroscience, for graduate students or advanced undergraduates." - Eero P. Simoncelli, Investigator, Howard Hughes Medical Institute; Professor, Neural Science, Mathematics, and Psychology, New York University, New York, USA

MATLAB for Neuroscientists provides a unique and relatively comprehensive introduction to the MATLAB programming language in the context of brain sciences...The book would work well as a supplementary source for an introductory coursein computational analysis and modeling in visual neuroscience, for graduate students or advanced undergraduates. --Eero P. Simoncelli, Investigator, Howard Hughes Medical Institute; Professor, Neural Science, Mathematics, and Psychology, New York University, New York, USA

The book is clear, cogent, and systematic. It provides much more than the essential nuts-and-bolts it also leads the reader to learn to think about the empirical enterprise writ large...This book should be given a privileged spot on the bookshelf of every teacher, student, and researcher in the behavioral and cognitive sciences. --Stephen M. Kosslyn, John Lindsley Professor of Psychology, Dean of Social Science, Harvard University, Cambridge, MA, USA

This is an excellent book that should be on the desk of any neuroscientist or psychologist who wants to analyze and understand his or her own data by using MATLAB...Several books with MATLAB toolboxes exist; I find this one special both for its clarity and its focus on problems related to neuroscience and cognitive psychology. --Nikos Logothetis, Director, Max Planck Institute for Biological Cybernetics, Tübingen, Germany

Review
"The book is clear, cogent, and systematic. It provides much more than the essential nuts-and-bolts-it also leads the reader to learn to think about the empirical enterprise writ large...This book should be given a privileged spot on the bookshelf of every teacher, student, and researcher in the behavioral and cognitive sciences." - Stephen M. Kosslyn, John Lindsley Professor of Psychology, Dean of Social Science, Harvard University, Cambridge, MA, USA

"This is an excellent book that should be on the desk of any neuroscientist or psychologist who wants to analyze and understand his or her own data by using MATLAB...Several books with MATLAB toolboxes exist; I find this one special both for its clarity and its focus on problems related to neuroscience and cognitive psychology." - Nikos Logothetis, Director, Max Planck Institute for Biological Cybernetics, Tübingen, Germany

"MATLAB for Neuroscientists provides a unique and relatively comprehensive introduction to the MATLAB programming language in the context of brain sciences...The book would work well as a supplementary source for an introductory coursein computational analysis and modeling in visual neuroscience, for graduate students or advanced undergraduates." - Eero P. Simoncelli, Investigator, Howard Hughes Medical Institute; Professor, Neural Science, Mathematics, and Psychology, New York University, New York, USA.
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Monday, March 2, 2009

Ben Copin's Artificial Intelligence Illuminated-Submitted by 06SW12

Ben Copin's Artificial Intelligence Illuminated-Submitted by 06SW12

  • Paperback: 600 pages
  • Publisher: Jones & Bartlett Publishers; 1 edition (March 2004)
  • Language: English
  • ISBN-10: 0763732303
Product Description
Artificial Intelligence Illuminated presents an overview of the background and history of artificial intelligence, emphasizing its importance in today’s society and potential for the future. The book covers a range of AI techniques, algorithms, and methodologies, including game playing, intelligent agents, machine learning, genetic algorithms, and Artificial Life. Material is presented in a lively and accessible manner and the author focuses on explaining how AI techniques relate to and are derived from natural systems, such as the human brain and evolution, and explaining how the artificial equivalents are used in the real world. Each chapter includes student exercises and review questions, and a detailed glossary at the end of the book defines important terms and concepts highlighted throughout the text.
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