Machine Interpretation Of Patterns: Image Analysis And Data Mining
Image Analysis and Data Mining
Published on 29. June 2010
Book
Hardback
316 pages
978-981-4299-18-3 (ISBN)
Description
This review volume provides from both theoretical and application points of views, recent developments and state-of-the-art reviews in various areas of pattern recognition, image processing, machine learning, soft computing, data mining and web intelligence.Machine Interpretation of Patterns: Image Analysis and Data Mining is an essential and invaluable resource for professionals and advanced graduates in computer science, mathematics and life sciences. It can also be considered as an integrated volume to researchers interested in doing interdisciplinary research where computer science is a component.
More details
Series
Language
English
Place of publication
Singapore
Singapore
Target group
College/higher education
Professional and scholarly
Dimensions
Height: 235 mm
Width: 157 mm
Thickness: 22 mm
Weight
613 gr
ISBN-13
978-981-4299-18-3 (9789814299183)
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Schweitzer Classification
Persons
Content
Adaptive Web Services Brokering; Simple Machine Learning Approaches to Safety-Related Systems; Intelligent Surveillance and Pose-Invariant 2D Face Classification; Bipolar Fuzzy Spatial Information; First Operations in the Mathematical Morphology Setting; Some Approaches to Intelligent Information Retrieval; Nonuniform Multi-Level Crossing for Signal Reconstruction; A Two-Stage Recognition Scheme for Offline Handwritten Devanagari Words; Retrieval of On-line Signatures; Fall Detection from a Video in the Presence of Multiple Person; Parallel Genetic Algorithm-Based Clustering for Object and Background Classification; Granular Support Vector Machine-Based Method for Prediction of Solubility of Proteins on Overexpression in Escherichia Coli; Image Quality Assessment Based on Weighted Perceptual Features; Fusion of GIS and SAR Statistical Features for Earthquake Damage Mapping at the Block Scale; Quasi-Reversible Two-Dimension Fractional Differentiation for Image Entropy Reduction; Combining Information with a Bayesian Multi-Class Multi-Kernel Pattern Recognition Machine.