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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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| Pubblicazione: | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005 |
| Edizione: | 1st ed. 2005. |
| Descrizione fisica: | 1 online resource (XII, 362 p.) |
| Disciplina: | 006.3/1 |
| Soggetto topico: | 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 | |
| Altri autori: |
BengioSamy
BourlardHervé <1956->
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| Note generali: | Bibliographic Level Mode of Issuance: Monograph |
| Nota di bibliografia: | Includes bibliographical references and index. |
| Nota di contenuto: | 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 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. |
| Sommario/riassunto: | 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. |
| Titolo autorizzato: | Machine learning for multimodal interaction ![]() |
| ISBN: | 3-540-30568-8 |
| Formato: | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione: | Inglese |
| Record Nr.: | 9910483218903321 |
| Lo trovi qui: | Univ. Federico II |
| Opac: | Controlla la disponibilità qui |