LEADER 05025nam 2200613 a 450 001 9910483777403321 005 20200520144314.0 010 $a3-540-69268-1 024 7 $a10.1007/11965152 035 $a(CKB)1000000000283916 035 $a(SSID)ssj0000318739 035 $a(PQKBManifestationID)11265694 035 $a(PQKBTitleCode)TC0000318739 035 $a(PQKBWorkID)10336569 035 $a(PQKB)11693621 035 $a(DE-He213)978-3-540-69268-3 035 $a(MiAaPQ)EBC3068549 035 $a(PPN)123140277 035 $a(EXLCZ)991000000000283916 100 $a20061120d2006 uy 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aMachine learning for multimodal interaction $ethird international workshop, MLMI 2006 Bethesda, MD, USA, May 1-4, 2006 : revised selected papers /$fSteve Renals, Samy Bengio, Jonathan G. Fiscus (eds.) 205 $a1st ed. 2006. 210 $aBerlin ;$aNew York $cSpringer$d2006 215 $a1 online resource (XII, 470 p.) 225 1 $aLecture notes in computer science,$x0302-9743 ;$v4299 225 1 $aLNCS sublibrary. SL 3, Information systems and application, incl. Internet/Web, and HCI 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-69267-3 320 $aIncludes bibliographical references and index. 327 $aMLMI?06 -- Model-Based, Multimodal Interaction in Document Browsing -- The NIST Meeting Room Corpus 2 Phase 1 -- Audio-Visual Processing in Meetings: Seven Questions and Current AMI Answers -- A Multimodal Analysis of Floor Control in Meetings -- Combining User Modeling and Machine Learning to Predict Users? Multimodal Integration Patterns -- Using Audio, Visual, and Lexical Features in a Multi-modal Virtual Meeting Director -- A Study on Visual Focus of Attention Recognition from Head Pose in a Meeting Room -- Multi-person Tracking in Meetings: A Comparative Study -- Gaussian Mixture Models for CHASM Signature Verification -- Kalman Tracking with Target Feedback on Adaptive Background Learning -- Da Vinci?s Mona Lisa -- The Connector Service-Predicting Availability in Mobile Contexts -- Multimodal Input for Meeting Browsing and Retrieval Interfaces: Preliminary Findings -- Gesture Features for Coreference Resolution -- Syntactic Chunking Across Different Corpora -- Multistream Recognition of Dialogue Acts in Meetings -- Text Based Dialog Act Classification for Multiparty Meetings -- Detecting Action Items in Multi-party Meetings: Annotation and Initial Experiments -- Overlap in Meetings: ASR Effects and Analysis by Dialog Factors, Speakers, and Collection Site -- A Speaker Localization System for Lecture Room Environment -- Robust Speech Activity Detection in Interactive Smart-Room Environments -- Automatic Cluster Complexity and Quantity Selection: Towards Robust Speaker Diarization -- Speaker Diarization for Multi-microphone Meetings Using Only Between-Channel Differences -- Warped and Warped-Twice MVDR Spectral Estimation With and Without Filterbanks -- Robust Heteroscedastic Linear Discriminant Analysis and LCRC Posterior Features in Meeting Data Recognition -- Juicer: A Weighted Finite-State Transducer Speech Decoder -- Speech-to-Speech Translation Services for the Olympic Games 2008 -- The Rich Transcription 2006 Spring Meeting Recognition Evaluation -- The IBM RT06s Evaluation System for Speech Activity Detection in CHIL Seminars -- A Lightweight Speech Detection System for Perceptive Environments -- Robust Speaker Diarization for Meetings: ICSI RT06S Meetings Evaluation System -- Technical Improvements of the E-HMM Based Speaker Diarization System for Meeting Records -- The AMI Speaker Diarization System for NIST RT06s Meeting Data -- The 2006 Athens Information Technology Speech Activity Detection and Speaker Diarization Systems -- Speaker Diarization: From Broadcast News to Lectures -- The ISL RT-06S Speech-to-Text System -- The AMI Meeting Transcription System: Progress and Performance -- The IBM Rich Transcription Spring 2006 Speech-to-Text System for Lecture Meetings -- The ICSI-SRI Spring 2006 Meeting Recognition System -- The LIMSI RT06s Lecture Transcription System. 410 0$aLNCS sublibrary.$nSL 3,$pInformation systems and applications, incl. Internet/Web, and HCI. 410 0$aLecture notes in computer science ;$v4299. 517 3 $aMLMI 2006 606 $aMachine learning$vCongresses 606 $aHuman-computer interaction$vCongresses 615 0$aMachine learning 615 0$aHuman-computer interaction 676 $a006.3/1 701 $aRenals$b Steve$01751880 701 $aBengio$b Samy$01688709 701 $aFiscus$b Jonathan G$01393563 712 12$aWorkshop on Machine Learning for Multimodal Interaction 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910483777403321 996 $aMachine learning for multimodal interaction$94187022 997 $aUNINA