MARC Record from marc_columbia

LEADER: 05780cam a2200697Mi 4500
001 15127004
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006 m o d
007 cr cn|||||||||
008 171024s2017 fluao ob 001 0 eng d
035 $a(OCoLC)on1007497187
035 $a(NNC)15127004
040 $aCRCPR$beng$erda$epn$cCRCPR$dIDEBK$dEBLCP$dYDX$dN$T$dOCLCF$dNLE$dCRCPR$dCAUOI$dOCLCQ$dOCLCO$dMERER$dCEF$dOCLCQ$dUPM$dU3W$dUKMGB$dTYFRS$dOCLCQ$dUKAHL$dS2H$dOCLCO$dOCLCQ$dZCU$dOCLCQ$dOCLCO
015 $aGBB832299$2bnb
016 7 $a018587950$2Uk
019 $a1008874436
020 $a9781315154152$q(e-book)
020 $a1315154153
020 $a9781498769372$q(e-book ;$qPDF)
020 $a1498769373
020 $a9781351650205
020 $a1351650203
020 $z9781498769358
020 $z1498769357
035 $a(OCoLC)1007497187$z(OCoLC)1008874436
037 $a9781351650205$bIngram Content Group
050 4 $aTA1640
072 7 $aCOM$x000000$2bisacsh
082 04 $a006.4/2$223
049 $aZCUA
100 1 $aBhattacharyya, Siddhartha,$eeditor.
245 10 $aHybrid Intelligent Techniques for Pattern Analysis and Understanding /$ceditors, Anirban Mukherjee, Indrajit Pan.
250 $aFirst edition.
264 1 $aBoca Raton, FL :$bCRC Press,$c2017.
300 $a1 online resource :$btext file, PDF
336 $atext$btxt$2rdacontent
337 $acomputer$bc$2rdamedia
338 $aonline resource$bcr$2rdacarrier
520 2 $a"Hybrid Intelligent Techniques for Pattern Analysis and Understanding outlines the latest research on the development and application of synergistic approaches to pattern analysis in real-world scenarios. An invaluable resource for lecturers, researchers, and graduates students in computer science and engineering, this book covers a diverse range of hybrid intelligent techniques, including image segmentation, character recognition, human behavioral analysis, hyperspectral data processing, and medical image analysis."--Provided by publisher
505 0 $aCover -- Half Title Page -- Title Page -- Copyright Page -- Contents -- Foreword -- Preface -- Contributors -- Chapter 1: Offline Writer Verification Based on Bangla Handwritten Characters Using Enhanced Textual Feature -- 1.1 Introduction -- 1.2 Literature Survey -- 1.2.1 Offline and pseudo-dynamic approaches -- 1.2.2 Approaches of writer-dependent and writer-independent methods -- 1.2.3 Writer identification (many to one) -- 1.2.4 Writer verification (one-to-one matching) -- 1.2.5 Biometric property -- 1.2.6 Handwriting as biometric
505 8 $a1.2.7 Types of writers1.2.8 Genuine writer or original writer -- 1.2.9 Forged writer -- 1.2.10 Database -- 1.3 Introduction to Bangla -- 1.3.1 Bangla script -- 1.4 Method -- 1.5 Data Collection and PreProcessing -- 1.6 Feature Extraction Techniques -- 1.6.1 Feature extraction based on dual-tree complex wavelet transformation -- 1.6.2 Feature extraction based on GLCM -- 1.6.3 Edge direction information -- 1.7 Dissimilarity Measure -- 1.8 Classification Techniques -- 1.8.1 Multi-layer perceptrons networks -- 1.8.2 Simple logistic
505 8 $a1.8.3 Radial basis function networks1.9 Experimental Results -- 1.9.1 Performance evaluation criteria -- 1.9.2 Dissimilarity vector calculation -- 1.10 Verification Results -- 1.11 Conclusions -- References -- Chapter 2: Hybrid Intelligence Techniques for Handwritten Digit Recognition -- 2.1 Introduction -- 2.2 Literature Review -- 2.3 Conventional Models -- 2.3.1 Convolutional neural network -- 2.3.2 Extreme learning machines -- 2.3.3 Support vector machines -- 2.3.4 Hidden Markov model -- 2.4 Hybrid Models
505 8 $a2.4.1 Convolutional neural networkâ#x80;#x93;support vector machine (CNNâ#x80;#x93;SVM)2.4.2 Convolutional neural networkâ#x80;#x93;extreme learning machine (CNN-ELM) -- 2.4.3 Neuro-fuzzy -- 2.4.4 Particle swarm optimizationâ#x80;#x93;back-propagation with momentum (PSO-BPM) -- 2.4.5 Multilayer perceptronâ#x80;#x93;support vector machine (MLP-SVM) -- 2.4.6 Radial basis function networkâ#x80;#x93;support vector machine (RBF-SVM) -- 2.4.7 Multi-Layer perceptronâ#x80;#x93;hidden Markov model (MLP-HMM) -- 2.4.8 Hybrid tree classifier -- 2.4.9 Adaptive neuro-fuzzy -- 2.5 Results and Discussion -- 2.6 Conclusion
505 8 $a2.7 Future WorkReferences -- Chapter 3: Artificial Immune Recognition System for Offine Handwritten Signature Verification -- 3.1 Introduction -- 3.2 Signature Verification Strategies (Dependent/Independent) -- 3.2.1 The writer-dependent approach -- 3.2.2 The writer-independent approach -- 3.3 Natural Immune System versus Artificial Immune System -- 3.4 Artificial Immune Recognition System (AIRS) -- 3.4.1 Key terms definitions -- 3.4.2 AIRS parameters definition -- 3.4.3 Overview of the AIRS algorithm -- 3.4.3.1 Initialization -- 3.4.3.2 Training process
504 $aIncludes bibliographical references and index.
650 0 $aOptical pattern recognition$xIndustrial applications.
650 0 $aImage analysis.
650 6 $aReconnaissance optique des formes (Informatique)$xApplications industrielles.
650 6 $aAnalyse d'images.
650 7 $aCOMPUTERS$xGeneral.$2bisacsh
650 7 $aImage analysis.$2fast$0(OCoLC)fst00967482
650 7 $aOptical pattern recognition$xIndustrial applications.$2fast$0(OCoLC)fst01046786
655 0 $aElectronic books.
655 4 $aElectronic books.
700 1 $aMukherjee, Anirban,$eeditor.
700 1 $aPan, Indrajit,$eeditor.
700 1 $aDutta, Paramartha,$eeditor.
700 1 $aBhaumik, Arup Kumar,$eeditor.
776 08 $z9781315154152$z9781498769372
856 40 $uhttp://www.columbia.edu/cgi-bin/cul/resolve?clio15127004$zTaylor & Francis eBooks
852 8 $blweb$hEBOOKS