Titlebook: Data Complexity in Pattern Recognition; Mitra Basu,Tin Kam Ho Book 2006 Springer-Verlag London 2006 algorithm.algorithms.classification.cl

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Complex Image Recognition and Web Securitying ability between humans and machines. Thus, many technical issues studied by the image recognition research community are relevant to HIPs. This chapter describes the evolution of HIP R&D, applications of HIPs now and on the horizon, relevant legal issues, highlights of the first two HIP workshop

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Object Representation, Sample Size, and Data Set Complexity

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Complexity of Magnetic Resonance Spectrum Classification, even robust classifiers like random decision forests can benefit from sophisticated feature selection procedures, and the improvement can be explained by the more favorable characteristics in the class geometry given by the resultant feature sets.

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