Machine Learning for Multimodal Interaction多模态交互作用的机器学习/会议录

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This book constitutes the thoroughly refereed post-proceedings of the First International Workshop on Machine Learning for Multimodal Interaction, MLMI 2004, held in Martigny, Switzerland in June 2004.
The 30 revised full papers presented were carefully selected during two rounds of reviewing and revision. The papers are organized in topical sections on HCI and applications, structuring and interaction, multimodal processing, speech processing, dialogue management, and vision and emotion.

MLMI 2004
Ⅰ HCI and Applications
　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
Ⅱ Structuring and Interaction
　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
Ⅲ Multimodal Processing
　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
Ⅳ Speech Processing
　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
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Ⅴ Dialogue Management
Ⅵ Vision and Emotion
Author Index