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Machine Learning for Multimodal Interaction

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Cover of 'Machine Learning for Multimodal Interaction'

Table of Contents

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    Book Overview
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    Chapter 1 Machine Learning for Multimodal Interaction
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    Chapter 2 Browsing Recorded Meetings with Ferret
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    Chapter 3 Meeting Modelling in the Context of Multimodal Research
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    Chapter 4 Artificial Companions
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    Chapter 5 Zakim – A Multimodal Software System for Large-Scale Teleconferencing
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    Chapter 6 Towards Computer Understanding of Human Interactions
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    Chapter 7 Multistream Dynamic Bayesian Network for Meeting Segmentation
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    Chapter 8 Using Static Documents as Structured and Thematic Interfaces to Multimedia Meeting Archives
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    Chapter 9 An Integrated Framework for the Management of Video Collection
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    Chapter 10 The NITE XML Toolkit Meets the ICSI Meeting Corpus: Import, Annotation, and Browsing
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    Chapter 11 S-SEER: Selective Perception in a Multimodal Office Activity Recognition System
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    Chapter 12 Mapping from Speech to Images Using Continuous State Space Models
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    Chapter 13 An Online Algorithm for Hierarchical Phoneme Classification
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    Chapter 14 Towards Predicting Optimal Fusion Candidates: A Case Study on Biometric Authentication Tasks
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    Chapter 15 Mixture of SVMs for Face Class Modeling
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    Chapter 16 AV16.3: An Audio-Visual Corpus for Speaker Localization and Tracking
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    Chapter 17 The 2004 ICSI-SRI-UW Meeting Recognition System
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    Chapter 18 On the Adequacy of Baseform Pronunciations and Pronunciation Variants
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    Chapter 19 Tandem Connectionist Feature Extraction for Conversational Speech Recognition
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    Chapter 20 Long-Term Temporal Features for Conversational Speech Recognition
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    Chapter 21 Speaker Indexing in Audio Archives Using Gaussian Mixture Scoring Simulation
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    Chapter 22 Speech Transcription and Spoken Document Retrieval in Finnish
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    Chapter 23 A Mixed-Lingual Phonological Component Which Drives the Statistical Prosody Control of a Polyglot TTS Synthesis System
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    Chapter 24 Shallow Dialogue Processing Using Machine Learning Algorithms (or Not)
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    Chapter 25 ARCHIVUS: A System for Accessing the Content of Recorded Multimodal Meetings
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    Chapter 26 Piecing Together the Emotion Jigsaw
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    Chapter 27 Emotion Analysis in Man-Machine Interaction Systems
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    Chapter 28 A Hierarchical System for Recognition, Tracking and Pose Estimation
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    Chapter 29 Automatic Pedestrian Tracking Using Discrete Choice Models and Image Correlation Techniques
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    Chapter 30 A Shape Based, Viewpoint Invariant Local Descriptor
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Title
Machine Learning for Multimodal Interaction
Published by
Springer Berlin Heidelberg, January 2005
DOI 10.1007/b105752
ISBNs
978-3-54-024509-4, 978-3-54-030568-2
Editors

Bengio, Samy, Bourlard, Hervé

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 5%
France 2 5%
Malaysia 1 2%
Germany 1 2%
Portugal 1 2%
Italy 1 2%
Ireland 1 2%
Austria 1 2%
Spain 1 2%
Other 0 0%
Unknown 32 74%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 16 37%
Student > Master 10 23%
Researcher 6 14%
Student > Doctoral Student 4 9%
Professor 2 5%
Other 5 12%
Readers by discipline Count As %
Computer Science 23 53%
Engineering 7 16%
Linguistics 6 14%
Mathematics 1 2%
Agricultural and Biological Sciences 1 2%
Other 3 7%
Unknown 2 5%