| 000 | 03400cam a22006498i 4500 | ||
|---|---|---|---|
| 001 | on1139013195 | ||
| 003 | OCoLC | ||
| 005 | 20220711203606.0 | ||
| 006 | m o d | ||
| 007 | cr ||||||||||| | ||
| 008 | 200129s2020 nju ob 001 0 eng | ||
| 010 | _a 2020003785 | ||
| 040 |
_aDLC _beng _erda _cDLC _dOCLCO _dOCLCF _dOCLCQ _dUKMGB _dDG1 |
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| 015 |
_aGBC063182 _2bnb |
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| 016 | 7 |
_a019802063 _2Uk |
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| 020 |
_a9781119527886 _q(electronic bk. : oBook) |
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| 020 |
_a1119527880 _q(electronic bk. : oBook) |
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| 020 |
_a9781119527893 _q(epub) |
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| 020 |
_a1119527899 _q(epub) |
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| 020 |
_a9781119527855 _q(adobe pdf) |
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| 020 |
_a1119527856 _q(adobe pdf) |
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| 020 |
_z9781119527862 _q(paperback) |
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| 029 | 1 |
_aAU@ _b000066651727 |
|
| 029 | 1 |
_aUKMGB _b019802063 |
|
| 035 | _a(OCoLC)1139013195 | ||
| 037 |
_a9781119527893 _bWiley |
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| 042 | _apcc | ||
| 050 | 0 | 0 | _aTA1634 |
| 082 | 0 | 0 |
_a006.3/7 _223 |
| 049 | _aMAIN | ||
| 100 | 1 |
_aGhosh, Hiranmay, _eauthor. _99111 |
|
| 245 | 1 | 0 |
_aComputational models for cognitive vision / _cHiranmay Ghosh. |
| 263 | _a2004 | ||
| 264 | 1 |
_aHoboken, New Jersey : _bWiley-IEEE Computer Society Press, _c[2020] |
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| 300 | _a1 online resource | ||
| 336 |
_atext _btxt _2rdacontent |
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| 337 |
_acomputer _bn _2rdamedia |
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| 338 |
_aonline resource _bnc _2rdacarrier |
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| 504 | _aIncludes bibliographical references and index. | ||
| 505 | 0 | _aEarly vision -- Bayesian reasoning for perception and cognition -- Late vision -- Visual attention -- Cognitive architectures -- Knowledge representation for cognitive vision -- Deep learning for visual cognition -- Applications of visual cognition. | |
| 520 |
_a"This book focuses on computing aspects and shows how the cognitive principles borrowed from other disciplines can be used to solve problems of computer vision. The book begins with an introduction to the problems of computer vision and why cognitive principles should be used to solve these problems. Then it moves on to a discussion of deductive, inductive, and abductive reasoning and the psychological observations and deductions of various theories and models of cognitive vision. Other topics covered include knowledge representation techniques, evolution of cognitive architectures, machine learning approaches, and more. The book ends with salient observations and future research directions"-- _cProvided by publisher. |
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| 588 | _aDescription based on print version record and CIP data provided by publisher; resource not viewed. | ||
| 590 |
_aJohn Wiley and Sons _bWiley Frontlist Obook All English 2020 |
||
| 650 | 0 |
_aComputer vision. _99112 |
|
| 650 | 0 |
_aCognitive science. _99113 |
|
| 650 | 0 |
_aVisual perception. _93461 |
|
| 650 | 0 |
_aBayesian statistical decision theory. _98233 |
|
| 650 | 7 |
_aBayesian statistical decision theory. _2fast _0(OCoLC)fst00829019 _98233 |
|
| 650 | 7 |
_aCognitive science. _2fast _0(OCoLC)fst00866547 _99113 |
|
| 650 | 7 |
_aComputer vision. _2fast _0(OCoLC)fst00872687 _99112 |
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| 650 | 7 |
_aVisual perception. _2fast _0(OCoLC)fst01168049 _93461 |
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| 655 | 4 |
_aElectronic books. _93294 |
|
| 776 | 0 | 8 |
_iPrint version: _aGhosh, Hiranmay. _tComputational models for cognitive vision _dHoboken, New Jersey : Wiley-IEEE Computer Society Press, [2020] _z9781119527862 _w(DLC) 2020003784 |
| 856 | 4 | 0 |
_uhttps://doi.org/10.1002/9781119527886 _zWiley Online Library |
| 942 | _cEBK | ||
| 994 |
_a92 _bDG1 |
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| 999 |
_c69290 _d69290 |
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