000 03647nam a22004935i 4500
001 978-1-4614-5348-2
003 DE-He213
005 20140220083250.0
007 cr nn 008mamaa
008 121009s2012 xxu| s |||| 0|eng d
020 _a9781461453482
_9978-1-4614-5348-2
024 7 _a10.1007/978-1-4614-5348-2
_2doi
050 4 _aTA1637-1638
050 4 _aTA1637-1638
072 7 _aUYT
_2bicssc
072 7 _aUYQV
_2bicssc
072 7 _aCOM012000
_2bisacsh
072 7 _aCOM016000
_2bisacsh
082 0 4 _a006.6
_223
082 0 4 _a006.37
_223
100 1 _aRay, Kumar S.
_eauthor.
245 1 0 _aSoft Computing Approach to Pattern Classification and Object Recognition
_h[electronic resource] :
_bA Unified Concept /
_cby Kumar S. Ray.
264 1 _aNew York, NY :
_bSpringer New York :
_bImprint: Springer,
_c2012.
300 _aXII, 173 p. 46 illus.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
505 0 _aSoft Computing Approach to Pattern Classification and Object Recognition -- Pattern Classification Based on Conventional Interpretation of MFI -- Pattern Classification Based on New Interpretation of MFI -- Pattern Classification Based on New Interpretation of MFI and Floating Point Genetic Algorithm -- Neuro-Genetic Approach To Pattern Classification Based on the New Interpretation of MFI -- Knowledge-Based Occluded Object Recognition Based on New Interpretation of MFI and Floating Point Genetic Algorithm -- Neuro-fuzzy Approach to Occluded Object Recognition Based on the New Interpretation of MFI.
520 _aSoft Computing Approach to Pattern Classification and Object Recognition establishes an innovative, unified approach to supervised pattern classification and model-based occluded object recognition. The book also surveys various soft computing tools, fuzzy relational calculus (FRC), genetic algorithm (GA) and multilayer perceptron (MLP) to provide a strong foundation for the reader. The supervised approach to pattern classification and model-based approach to occluded object recognition are treated in one framework , one based on either a conventional interpretation or a new interpretation of multidimensional fuzzy implication (MFI) and a novel notion of fuzzy pattern vector (FPV). By combining practice and theory, a completely independent design methodology was developed in conjunction with this supervised approach on a unified framework, and then tested thoroughly against both synthetic and real-life data. In the field of soft computing, such an application-oriented design study is unique in nature. The monograph essentially mimics the cognitive process of human decision making, and carries a message of perceptual integrity in representational diversity. Soft Computing Approach to Pattern Classification and Object Recognition is intended for researchers in the area of pattern classification and computer vision. Other academics and practitioners will also find the book valuable.
650 0 _aComputer science.
650 0 _aArtificial intelligence.
650 0 _aComputer vision.
650 1 4 _aComputer Science.
650 2 4 _aImage Processing and Computer Vision.
650 2 4 _aSignal, Image and Speech Processing.
650 2 4 _aArtificial Intelligence (incl. Robotics).
710 2 _aSpringerLink (Online service)
773 0 _tSpringer eBooks
776 0 8 _iPrinted edition:
_z9781461453475
856 4 0 _uhttp://dx.doi.org/10.1007/978-1-4614-5348-2
912 _aZDB-2-SCS
999 _c101529
_d101529