LEADER 03973nam 22008175 450 001 9910816417503321 005 20231102063120.0 024 7 $a10.1007/b116104 035 $a(CKB)1000000000244352 035 $a(MiAaPQ)EBC3036085 035 $a(MiAaPQ)EBC3071781 035 $a(DE-He213)978-1-4020-8035-7 035 $a(Au-PeEL)EBL3036085 035 $a(CaPaEBR)ebr10101542 035 $a(OCoLC)56105319 035 $a(Au-PeEL)EBL3071781 035 $a(CaPaEBR)ebr10911167 035 $a(OCoLC)935290865 035 $a(EXLCZ)991000000000244352 100 $a20100301d2004 u| 0 101 0 $aeng 135 $aurnn#008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMachine Learning and Statistical Modeling Approaches to Image Retrieval$b[electronic resource] /$fby Yixin Chen, Jia Li, James Z. Wang 205 $a1st ed. 2004. 210 1$aNew York, NY :$cSpringer US :$cImprint: Springer,$d2004. 215 $a1 online resource (XVII, 182 p.) 225 1 $aThe Information Retrieval Series,$x2730-6836 ;$v14 311 $a1-4020-8034-4 311 $a1-4020-8035-2 320 $aIncludes bibliographical references and index. 327 $aImage Retrieval and Linguistic Indexing -- Machine Learning and Statistical Modeling -- A Robust Region-Based Similarity Measure -- Cluster-Based Retrieval by Unsupervised Learning -- Categorization by Learning and Reasoning with Regions -- Automatic Linguistic Indexing of Pictures -- Modeling Ancient Paintings -- Conclusions and Future Work. 330 $aIn the early 1990s, the establishment of the Internet brought forth a revolutionary viewpoint of information storage, distribution, and processing: the World Wide Web is becoming an enormous and expanding distributed digital library. Along with the development of the Web, image indexing and retrieval have grown into research areas sharing a vision of intelligent agents. Far beyond Web searching, image indexing and retrieval can potentially be applied to many other areas, including biomedicine, space science, biometric identification, digital libraries, the military, education, commerce, culture and entertainment. Machine Learning and Statistical Modeling Approaches to Image Retrieval describes several approaches of integrating machine learning and statistical modeling into an image retrieval and indexing system that demonstrates promising results. The topics of this book reflect authors' experiences of machine learning and statistical modeling based image indexing and retrieval. This book contains detailed references for further reading and research in this field as well. 410 0$aThe Information Retrieval Series,$x2730-6836 ;$v14 606 $aLasers 606 $aMultimedia systems 606 $aArtificial intelligence 606 $aElectronic data processing$xManagement 606 $aStatistics 606 $aComputer vision 606 $aLaser 606 $aMultimedia Information Systems 606 $aArtificial Intelligence 606 $aIT Operations 606 $aStatistics 606 $aComputer Vision 615 0$aLasers. 615 0$aMultimedia systems. 615 0$aArtificial intelligence. 615 0$aElectronic data processing$xManagement. 615 0$aStatistics. 615 0$aComputer vision. 615 14$aLaser. 615 24$aMultimedia Information Systems. 615 24$aArtificial Intelligence. 615 24$aIT Operations. 615 24$aStatistics. 615 24$aComputer Vision. 676 $a621.367 700 $aChen$b Yixin$f1972-$01719398 701 $aLi$b Jia$f1974-$01719399 701 $aWang$b James Z.$f1972-$0922802 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910816417503321 996 $aMachine Learning and Statistical Modeling Approaches to Image Retrieval$94117201 997 $aUNINA