Machine Learning for Multimodal Interaction多模態(tài)交互作用的機(jī)器學(xué)習(xí)/會(huì)議錄

內(nèi)容概要

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.

書籍目錄

MLMI 2004Ⅰ 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 TeleconferencingⅡ 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 BrowsingⅢ  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 TrackingⅣ 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……Ⅴ Dialogue ManagementⅥ Vision and EmotionAuthor Index

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