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Contents
Common terms and phrasesAANN model adaptation rules alpha helix analysis aposteriori applications approach beta sheet case-base CBR system chapter chromosome classifier clustering algorithm coefficients combination components compression constructed correlation corresponding crossover data mining data set decision tree defined denoted distribution encoder ensemble equation error example extraction feature selection feature vectors Fourier spectrum frame fusion fuzzy rule fuzzy set gene genetic algorithms Ghosh granular computing granular world hyperplanes IEEE Transactions image processing information granule systems information granules input Kittler learning linear macroblock measure membership functions methods motion estimation motion vector multi-objective mutation neural network neurons node nonlinear object obtained operator optimization output layer parameters partition pattern recognition tasks performance pixels Polkowski problem Proc protein rate control represent representation residue rough set samples scheme Section segmentation shot shown in Fig Skowron soft computing solution space speaker recognition structure threshold tion training data transformation video sequences wavelet matrix weights References to this bookFrom other books
From Google ScholarA Fuzzy Approach to Image Analysis in HLA Typing using ...GB Ferrara, L Delfino, F Masulli, S Rovetta, R Sensi An adaptive neuro-fuzzy system for color image segmentationKanchan Deshmukh, GN Shinde - 2006 - J. Indian Inst. Sci XMUBET with CONSENT: Pixel Hostility Induced Multiscale Object ...Siddhartha Bhattacharyya, Paramartha Dutta References from web pagesSOFT COMPUTING APPROACH TO PATTERN RECOGNITION AND IMAGE PROCESSING Books Published Fuzzy sets in pattern recognition and machine intelligence Bibliographic information
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