LEADER 06043nam 22008175 450 001 996465439403316 005 20200702143641.0 010 $a3-540-25981-3 024 7 $a10.1007/b98244 035 $a(CKB)1000000000212432 035 $a(DE-He213)978-3-540-25981-7 035 $a(SSID)ssj0000097156 035 $a(PQKBManifestationID)11121983 035 $a(PQKBTitleCode)TC0000097156 035 $a(PQKBWorkID)10113245 035 $a(PQKB)10504276 035 $a(MiAaPQ)EBC3088382 035 $a(PPN)155186582 035 $a(EXLCZ)991000000000212432 100 $a20121227d2004 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aAdaptive Multimedia Retrieval$b[electronic resource] $eFirst International Workshop, AMR 2003, Hamburg, Germany, September 15-16, 2003, Revised Selected and Invited Papers /$fedited by Andreas Nürnberger, Marcin Detyniecki 205 $a1st ed. 2004. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2004. 215 $a1 online resource (VIII, 232 p.) 225 1 $aLecture Notes in Computer Science,$x0302-9743 ;$v3094 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-22163-8 320 $aIncludes bibliographical references at the end of each chapters and index. 327 $aInvited Contributions -- Adaptive Systems for Multimedia Information Retrieval -- Overview of Approaches to Semantic Augmentation of Multimedia Databases for Efficient Access and Content Retrieval -- Building User Models from Observations of Users Accessing Multimedia Learning Objects -- Retrieval Systems -- Personalized Support for Interaction with Scientific Information Portals -- NewsFlash: Adaptive TV News Delivery on the Web -- User Adaptive Categorization of Document Collections -- Text and Ontologies -- Automatic Keyword Extraction for News Finder -- Ontology-Based Semantic Classification of Unstructured Documents -- Feature Extraction from Video -- Intelligent Visual Descriptor Extraction from Video Sequences -- Defining Search Areas to Localize Limbs in Body Motion Analysis -- Learning Fuzzy Rules for Visual Speech Recognition -- Adaptive Discovery of Indexing Rules for Video -- Image -- A Combination of Machine Learning and Image Processing Technologies for the Classification of Image Regions -- Neural Network-Generated Image Retrieval and Refinement -- Sound -- Error Tolerant Melody Matching Method in Music Information Retrieval. 330 $aThis book is an extended collection of contributions that wereoriginally subm- ted to the 1st International Workshop on Adaptive Multimedia Retrieval (AMR 2003), which was organized as part of the 26th German Conference on Arti?cial Intelligence (KI 2003),and held during September 15?18,2003at the University of Hamburg, Germany. Motivated by the overall success of the workshop ? as revealed by the stimulating atmosphere during the workshop and the number of very interested and active participants ? we ?nally decided to edit a book based on revised papers that were initially submitted to the workshop. Furthermore, we invited some more introductory contributions in order to be able to provide a conclusive book on current topics in the area of adaptive multimedia retrieval systems. We hope that we were able to put together a stimulating collection of articles for the interested reader. We like to thank the organizationcommittee of the 26th German Conference on Arti?cial Intelligence (KI 2003) for providing the setting and the admin- trative support in realizing this workshop as part of their program. Especially, we like to thank Christopher Habel for promoting the workshop as part of the conference program and Andreas Gun ¨ ther for his kind support throughout the organization process. 410 0$aLecture Notes in Computer Science,$x0302-9743 ;$v3094 606 $aData structures (Computer science) 606 $aInformation storage and retrieval 606 $aMultimedia information systems 606 $aApplication software 606 $aOptical data processing 606 $aArtificial intelligence 606 $aData Structures and Information Theory$3https://scigraph.springernature.com/ontologies/product-market-codes/I15009 606 $aInformation Storage and Retrieval$3https://scigraph.springernature.com/ontologies/product-market-codes/I18032 606 $aMultimedia Information Systems$3https://scigraph.springernature.com/ontologies/product-market-codes/I18059 606 $aInformation Systems Applications (incl. Internet)$3https://scigraph.springernature.com/ontologies/product-market-codes/I18040 606 $aImage Processing and Computer Vision$3https://scigraph.springernature.com/ontologies/product-market-codes/I22021 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 615 0$aData structures (Computer science). 615 0$aInformation storage and retrieval. 615 0$aMultimedia information systems. 615 0$aApplication software. 615 0$aOptical data processing. 615 0$aArtificial intelligence. 615 14$aData Structures and Information Theory. 615 24$aInformation Storage and Retrieval. 615 24$aMultimedia Information Systems. 615 24$aInformation Systems Applications (incl. Internet). 615 24$aImage Processing and Computer Vision. 615 24$aArtificial Intelligence. 676 $a006.7 702 $aNürnberger$b Andreas$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aDetyniecki$b Marcin$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aInternational workshop Adaptive Multimedia Retrieval 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996465439403316 996 $aAdaptive Multimedia Retrieval$92158506 997 $aUNISA LEADER 02799nam 2200685 a 450 001 9910819139003321 005 20240516061500.0 010 $a9786613175182 010 $a9780470828731 010 $a0470828730 010 $a9781119199359 010 $a1119199352 010 $a9781283175180 010 $a1283175185 010 $a9780470828724 010 $a0470828722 035 $a(CKB)2550000000041442 035 $a(EBL)693373 035 $a(OCoLC)747427314 035 $a(SSID)ssj0000523081 035 $a(PQKBManifestationID)12150243 035 $a(PQKBTitleCode)TC0000523081 035 $a(PQKBWorkID)10539388 035 $a(PQKB)11529380 035 $a(MiAaPQ)EBC693373 035 $a(Au-PeEL)EBL693373 035 $a(CaPaEBR)ebr10484674 035 $a(CaONFJC)MIL317518 035 $a(Perlego)1010711 035 $a(EXLCZ)992550000000041442 100 $a20110809d2011 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aHarmonic Elliott wave $ethe case for modification of R.N. Elliott's impulsive wave structure /$fIan Copsey 205 $a1st ed. 210 $aSingapore $cWiley$d2011 215 $a1 online resource (242 p.) 225 1 $aWiley trading 300 $aIncludes index. 311 08$a9780470828700 311 08$a0470828706 327 $aHarmonic Elliott Wave: The Case for Modification of R. N. Elliott's Impulsive Wave Structure; Contents; Introduction; 1 R. N. Elliott's Findings: Impulsive Waves; 2 R. N. Elliott's Findings: Corrective Waves; 3 Impulsive Wave Modification; 4 Projection and Retracement Ratios; 5 Working with the Modified Wave Structure in Forecasting; 6 A Case Study in EURUSD; 7 TheModified Structure in OtherMarkets; Index 330 $aAn update to the Elliot Wave Principle that corrects a fundamental error The Elliot Wave Principle has been widely adopted as a tool for traders analyzing market cycles, but Ian Copsey has unearthed a fundamental error in the way it defines the structural development of price behavior. Harmonic Elliott Wave: The Case for Modification of R. N. Elliott's Impulsive Wave Structure explains what's wrong with the Principle, outlining a modification that allows for more accurate trading predictions. Revealing the methodology that led to this discovery, the common ratios that lin 410 0$aWiley trading. 606 $aElliott wave principle 615 0$aElliott wave principle. 676 $a332.632220112 676 $a512/.2 686 $aQK 620$2rvk 700 $aCopsey$b Ian$01651883 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910819139003321 996 $aHarmonic Elliott wave$94002140 997 $aUNINA