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Record Nr. |
UNINA9910483218903321 |
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Titolo |
Machine Learning for Multimodal Interaction : First International Workshop, MLMI 2004, Martigny, Switzerland, June 21-23, 2004, Revised Selected Papers / / edited by Samy Bengio, Hervé Bourlard |
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Pubbl/distr/stampa |
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Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
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ISBN |
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Edizione |
[1st ed. 2005.] |
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Descrizione fisica |
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1 online resource (XII, 362 p.) |
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Collana |
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Information Systems and Applications, incl. Internet/Web, and HCI, , 2946-1642 ; ; 3361 |
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Altri autori (Persone) |
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BengioSamy |
BourlardHervé <1956-> |
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Disciplina |
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Soggetti |
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User interfaces (Computer systems) |
Human-computer interaction |
Artificial intelligence |
Natural language processing (Computer science) |
Computers and civilization |
Computer vision |
User Interfaces and Human Computer Interaction |
Artificial Intelligence |
Natural Language Processing (NLP) |
Computers and Society |
Computer Vision |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Bibliographic Level Mode of Issuance: Monograph |
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Nota di bibliografia |
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Includes bibliographical references and index. |
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Nota di contenuto |
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MLMI 2004 -- Accessing Multimodal Meeting Data: Systems, Problems and Possibilities -- Browsing Recorded Meetings with Ferret -- Meeting Modelling in the Context of Multimodal Research -- Artificial Companions -- Zakim – A Multimodal Software System for Large-Scale Teleconferencing -- Towards Computer Understanding of Human Interactions -- Multistream Dynamic Bayesian Network for Meeting Segmentation -- Using Static Documents as Structured and Thematic Interfaces to Multimedia Meeting Archives -- An Integrated Framework for the Management of Video Collection -- The NITE XML Toolkit Meets |
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the ICSI Meeting Corpus: Import, Annotation, and Browsing -- S-SEER: Selective Perception in a Multimodal Office Activity Recognition System -- Mapping from Speech to Images Using Continuous State Space Models -- An Online Algorithm for Hierarchical Phoneme Classification -- Towards Predicting Optimal Fusion Candidates: A Case Study on Biometric Authentication Tasks -- Mixture of SVMs for Face Class Modeling -- AV16.3: An Audio-Visual Corpus for Speaker Localization and Tracking -- The 2004 ICSI-SRI-UW Meeting Recognition System -- On the Adequacy of Baseform Pronunciations and Pronunciation Variants -- Tandem Connectionist Feature Extraction for Conversational Speech Recognition -- Long-Term Temporal Features for Conversational Speech Recognition -- Speaker Indexing in Audio Archives Using Gaussian Mixture Scoring Simulation -- Speech Transcription and Spoken Document Retrieval in Finnish -- A Mixed-Lingual Phonological Component Which Drives the Statistical Prosody Control of a Polyglot TTS Synthesis System -- Shallow Dialogue Processing Using Machine Learning Algorithms (or Not) -- ARCHIVUS: A System for Accessing the Content of Recorded Multimodal Meetings -- Piecing Together the Emotion Jigsaw -- EmotionAnalysis in Man-Machine Interaction Systems -- A Hierarchical System for Recognition, Tracking and Pose Estimation -- Automatic Pedestrian Tracking Using Discrete Choice Models and Image Correlation Techniques -- A Shape Based, Viewpoint Invariant Local Descriptor. |
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Sommario/riassunto |
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This book contains a selection of refereed papers presented at the 1st Wo- shop on Machine Learning for Multimodal Interaction (MLMI 2004), held at the "Centre du Parc," Martigny, Switzerland, during June 21-23, 2004. The workshop was organized and sponsored jointly by three European projects, - AMI, Augmented Multiparty Interaction, http://www.amiproject.org - PASCAL, Pattern Analysis, Statistical Modeling and Computational Learning, http://www.pascal-network.org - M4, Multi-modal Meeting Manager, http://www.m4project.org as well as the Swiss National Centre of Competence in Research (NCCR): - IM2: Interactive Multimodal Information Management, http://www.im2.ch MLMI 2004 was thus sponsored by the European Commission and the Swiss National Science Foundation. Given the multiple links between the above projects and several related - search areas, it was decided to organize a joint workshop bringing together - searchers from the di'erent communities working around the common theme of advanced machine learning algorithms for processing and structuring mul- modal human interaction in meetings. The motivation for creating such a forum, which could be perceived as a number of papers from di'erent research dis- plines, evolved from a real need that arose from these projects and the strong motivation of their partners for such a multidisciplinary workshop. This asse- ment was indeed con'rmed by the success of this ?rst MLMI workshop, which attracted more than 200 participants. |
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