Feature Usability Index

Debdoot Sheet

ISBN 10: 3844303332 / ISBN 13: 9783844303339

Published by LAP LAMBERT Academic Publishing Jan 2011, 2011

About this Item

This item is printed on demand - Print on Demand Titel. Neuware -Feature selection as an area of interest within pattern recognition, deals with selection of a subset of attributes used in construction of a model describing observations. The purpose of this stage includes reducing data dimensionality by removing irrelevant and redundant features, reducing the amount of learning data, improving predictive accuracy and comprehensibility of a classification hypothesis. This book introduces Feature Usability Index (FUI) as a measure for evaluating classification efficacy of features and its application in feature selection. Experimental applications presents optimal feature subset selection through ordering based on FUI, use of FUI for ranking and selection of feature extraction techniques for a specific linguistic feature, and Color Usability Index as a measure for predicting performance of image segmentation algorithms.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 84 pp. Englisch.

Seller Inventory # 9783844303339

Bibliographic Details

• Title: Feature Usability Index
• Publisher: LAP LAMBERT Academic Publishing Jan 2011
• Publication Date: 2011
• Language: English
• ISBN 10: 3844303332
• ISBN 13: 9783844303339
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 6D millimeters 220 millimeters width by 150 millimeters height by 6 millimeters depth
• Weight: 143 grams

About this title

Synopsis

Feature selection as an area of interest within pattern recognition, deals with selection of a subset of attributes used in construction of a model describing observations. The purpose of this stage includes reducing data dimensionality by removing irrelevant and redundant features, reducing the amount of learning data, improving predictive accuracy and comprehensibility of a classification hypothesis. This book introduces Feature Usability Index (FUI) as a measure for evaluating classification efficacy of features and its application in feature selection. Experimental applications presents optimal feature subset selection through ordering based on FUI, use of FUI for ranking and selection of feature extraction techniques for a specific linguistic feature, and Color Usability Index as a measure for predicting performance of image segmentation algorithms.

About the Author

Debdoot Sheet is currently working towards his Ph.D. degree at School of Medical Science and Technology, IIT Kharagpur.His research interests include image and multidimensional signal processing, pattern analysis and machine intelligence, knowledge and data engineering, fuzzy systems, systems, man and cybernetics.