Machine interpretation of patterns : image analysis and data mining / editors, Rajat K. De, Deba Prasad Mandal, Ashish Ghosh.

Includes bibliographical references.

Combining information with a Bayesian multi-class multi-kernel pattern recognition machine / T. Damoulas and M.A. Girolami -- Image quality assessment based on weighted perceptual features / D.V. Rao and L.P. Reddy -- Quasi-reversible two-dimension fractional differentiation for image entropy reduction / A. Nakib [and others] -- Parallel genetic algorithm based clustering for object and background classification / P. Kanungo, P.K. Nanda and A. Ghosh -- Biopolar fuzzy spatial information: first operations in the mathematical morphology setting / I. Bloch -- Approaches to intelligent information retrieval / G. Pasi -- Retrieval of on-line signatures / H.N. Prakash and D.S. Guru -- A two stage recognition scheme for offline handwritten devanagari words / B. Shaw and S.K. Parui -- Fall detection from a video in the presence of multiple persons / V. Vishwakarma, S. Sural and C. Mandal -- Fusion of GIS and SAR statistical features for earthquake damage mapping at the block scale / G. Trianni [and others] -- Intelligent surveillance and pose-invariant 2D face classification / B.C. Lovell, C. Sanderson and T. Shan -- Simple machine learning approaches to safety-related systems / C. Moewes, C. Otte and R. Kruse -- Nonuniform multi level crossings for signal reconstruction / N. Poorjay, H. Kumar and A. Rao -- Adaptive web services brokering / K.M. Grupta and D.W. Aha -- Granular support vector machine based method for prediction of solubility of proteins on over expression in Escherichia coli and breast cancer classification /P. Kumar, B.D. Kulkarni and V.K. Jayaraman.

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.

Print version record.

English.

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