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| 008 | 100804t2009 paua fsb 001 0 eng d | ||
| 020 | _a9781605661759 (e-book) | ||
| 020 | _a9781605661742 | ||
| 039 | 9 |
_a201107132340 _bVLOAD _c201104221152 _dFida _c201104201100 _dFida _c201008101204 _dida _y201008041124 _zida |
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| 040 | _aUMP | ||
| 090 | _aQ335 .A78 2009 | ||
| 245 | 0 | 0 |
_aArtificial intelligence for maximizing content based image retrieval _h[electronic resource] / _cZongmin Ma, editor |
| 260 |
_aHershey, Pa. : _bInformation Science Reference, _cc2009 |
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| 504 | _aIncludes bibliographical references and index | ||
| 505 | 0 | _aGenetic algorithms and other approaches in image feature extraction and representation -- Improving image retrieval by clustering -- Review on texture feature extraction and description methods in content-based medical image retrieval -- Content-based image classification and retrieval: a rule-based system using rough sets framework -- Content based image retrieval using active-nets -- Content-based image retrieval: from the object detection/recognition point of view -- Making image retrieval and classification more accurate using time series and learned constraints -- A machine learning-based model for content-based image retrieval -- Solving the small and asymmetric sampling problem in the context of image retrieval -- Content analysis from user's relevance feedback for content-based image retrieval -- Preference extraction in image retrieval -- Personalized content-based image retrieval -- A semantics sensitive framework of organization and retrieval for multimedia databases -- Content-based retrieval for mammograms -- Event detection, query, and retrieval for video surveillance -- MMIR: an advanced content-based image retrieval system using a hierarchical learning framework. | |
| 520 | _aDiscusses major aspects of content-based image retrieval (CBIR) using current technologies and applications within the artificial intelligence (AI) field | ||
| 533 |
_aElectronic reproduction. _bFarmington Hills, Mi : _cGale. _nAvailable via World Wide Web |
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| 534 |
_pOriginal: _exix, 430 p. : ill. ; 29 cm. |
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| 538 | _aMode of access: Internet | ||
| 650 | 0 | _aArtificial intelligence | |
| 650 | 0 | _aImage processing | |
| 700 | 1 | _aMa, Zongmin | |
| 856 | 4 | 0 |
_uhttp://find.galegroup.com.libraryumpsa.idm.oclc.org/openurl/openurl?url_ver=Z39.88-2004&url_ctx_fmt=info:ofi/fmt:kev:mtx:ctx&req_dat=info:sid/gale:ugnid:myump&res_id=info:sid/gale:GVRL&ctx_enc=info:ofi:enc:UTF-8&rft_val_fmt=info:ofi/fmt:kev:mtx:book&rft_id=info:sid/gale:bmcode:recid/2RAW _zAvailable for Universiti Malaysia Pahang via Gale Virtual Reference Library. Click here to access |
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