Classification Methods

Classification Methods for Remotely Sensed Data, Second Edition  eBooks & eLearning

Posted by thingska at Feb. 13, 2016
Classification Methods for Remotely Sensed Data, Second Edition

Classification Methods for Remotely Sensed Data, Second Edition by Brandt Tso
English | May 12, 2009 | ISBN: 1420090720 | 376 Pages | CHM | 8.4 MB

Multicriteria Decision Aid Classification Methods (Repost)  eBooks & eLearning

Posted by Specialselection at March 23, 2012
Multicriteria Decision Aid Classification Methods (Repost)

Michael Doumpos, Constantin Zopounidis, "Multicriteria Decision Aid Classification Methods (Applied Optimization)"
English | 2002-08-31 | ISBN: 1402008058 | 263 pages | PDF | 12.3 mb

Multicriteria Decision Aid Classification Methods (Applied Optimization)  eBooks & eLearning

Posted by prestige at Dec. 21, 2009
Multicriteria Decision Aid Classification Methods (Applied Optimization)

Multicriteria Decision Aid Classification Methods (Applied Optimization)
Springer | August 31, 2002 | ISBN: 1402008058 | 268 Pages | PDF | 12 MB

The book discusses a new approach to the classification problem following the decision support orientation of multicriteria decision aid. The book reviews the existing research on the development of classification methods, investigating the corresponding model development procedures, and providing a thorough analysis of their performance both in experimental situations and real-world problems from the field of finance. Audience: Researchers and professionals working in management science, decision analysis, operations research, financial/banking analysis, economics, statistics, computer science, as well as graduate students in management science and operations research.

Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Repost)  eBooks & eLearning

Posted by step778 at Feb. 21, 2017
Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (Repost)

Gregory Shakhnarovich, Trevor Darrell, Piotr Indyk, "Nearest-Neighbor Methods in Learning and Vision: Theory and Practice"
2006 | pages: 263 | ISBN: 026219547X | PDF | 28,4 mb

Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (repost)  eBooks & eLearning

Posted by interes at June 23, 2013
Nearest-Neighbor Methods in Learning and Vision: Theory and Practice (repost)

Nearest-Neighbor Methods in Learning and Vision: Theory and Practice by Gregory Shakhnarovich
English | (March 24, 2006) | ISBN: 026219547X | Pages: 280 | PDF | 7,18 MB

Regression and classification methods based on similarity of the input to stored examples have not been widely used in applications involving very large sets of high-dimensional data. Recent advances in computational geometry and machine learning, however, may alleviate the problems in using these methods on large data sets.

Principles And Advanced Methods In Medical Imaging And Image Analysis (Repost)  eBooks & eLearning

Posted by roxul at Aug. 3, 2014
Principles And Advanced Methods In Medical Imaging And Image Analysis (Repost)

Atam P. Dhawan, "Principles And Advanced Methods In Medical Imaging And Image Analysis"
English | ISBN: 9812705341 | 2008 | 868 pages | PDF | 36 MB

Principles And Advanced Methods In Medical Imaging And Image Analysis  eBooks & eLearning

Posted by nebulae at Nov. 27, 2013
Principles And Advanced Methods In Medical Imaging And Image Analysis

Atam P. Dhawan, "Principles And Advanced Methods In Medical Imaging And Image Analysis"
English | ISBN: 9812705341 | 2008 | 868 pages | PDF | 36 MB
Guide to Convolutional Neural Networks: A Practical Application to Traffic-Sign Detection and Classification

Hamed Habibi Aghdam, "Guide to Convolutional Neural Networks: A Practical Application to Traffic-Sign Detection and Classification"
English | ISBN: 331957549X | 2017 | 282 pages | PDF | 14 MB

Cellular Image Classification  eBooks & eLearning

Posted by Jeembo at May 15, 2017
Cellular Image Classification

Cellular Image Classification by Xiang Xu, Xingkun Wu, Feng Lin
English | 2017 | ISBN: 3319476289 | 137 Pages | PDF | 10.2 MB

This book introduces new techniques for cellular image feature extraction, pattern recognition and classification. The authors use the antinuclear antibodies (ANAs) in patient serum as the subjects and the Indirect Immunofluorescence (IIF) technique as the imaging protocol to illustrate the applications of the described methods.
Biomedical Signal Analysis: Contemporary Methods and Applications (MIT Press)(Repost)

Biomedical Signal Analysis: Contemporary Methods and Applications (MIT Press) by Fabian J. Theis
English | 2010 | ISBN: 0262013282, 9780262013284, 9780262013284 | 432 Pages | PDF | 8.00 MB