Machine Learning For Multimodal Interaction
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Machine Learning For Multimodal Interaction
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Author : Steve Renals
language : en
Publisher: Springer Science & Business Media
Release Date : 2006-02-13
Machine Learning For Multimodal Interaction written by Steve Renals and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-13 with Computers categories.
This book constitutes the thoroughly refereed post-proceedings of the Second International Workshop on Machine Learning for Multimodal Interaction held in July 2005. The 38 revised full papers presented together with two invited papers were carefully selected during two rounds of reviewing and revision. The papers are organized in topical sections on multimodal processing, HCI and applications, discourse and dialogue, emotion, visual processing, speech and audio processing, and NIST meeting recognition evaluation.
Machine Learning For Multimodal Interaction
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Author : Samy Bengio
language : en
Publisher: Springer
Release Date : 2005-01-17
Machine Learning For Multimodal Interaction written by Samy Bengio and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-17 with Computers categories.
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.
Machine Learning For Multimodal Interaction
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Author : Andrei Popescu-Belis
language : en
Publisher: Springer
Release Date : 2008-02-22
Machine Learning For Multimodal Interaction written by Andrei Popescu-Belis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-02-22 with Computers categories.
This book constitutes the thoroughly refereed post-proceedings of the 4th International Workshop on Machine Learning for Multimodal Interaction, MLMI 2007, held in Brno, Czech Republic, in June 2007. The 25 revised full papers presented together with 1 invited paper were carefully selected during two rounds of reviewing and revision from 60 workshop presentations. The papers are organized in topical sections on multimodal processing, HCI, user studies and applications, image and video processing, discourse and dialogue processing, speech and audio processing, as well as the PASCAL speech separation challenge.
International Conference On Multimodal Interfaces And The Workshop On Machine Learning For Multimodal Interaction
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Author : Wen Gao
language : en
Publisher:
Release Date : 2010
International Conference On Multimodal Interfaces And The Workshop On Machine Learning For Multimodal Interaction written by Wen Gao and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010 with categories.
Machine Learning For Multimodal Interaction
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Author : Andrei Popescu-Belis
language : en
Publisher: Springer
Release Date : 2008-09-20
Machine Learning For Multimodal Interaction written by Andrei Popescu-Belis and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-20 with Computers categories.
This book constitutes the refereed proceedings of the 5th International Workshop on Machine Learning for Multimodal Interaction, MLMI 2008, held in Utrecht, The Netherlands, in September 2008. The 12 revised full papers and 15 revised poster papers presented together with 5 papers of a special session on user requirements and evaluation of multimodal meeting browsers/assistants were carefully reviewed and selected from 47 submissions. The papers cover a wide range of topics related to human-human communication modeling and processing, as well as to human-computer interaction, using several communication modalities. Special focus is given to the analysis of non-verbal communication cues and social signal processing, the analysis of communicative content, audio-visual scene analysis, speech processing, interactive systems and applications.
Machine Learning For Multimodal Interaction
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Author : Steve Renals
language : en
Publisher: Springer
Release Date : 2007-01-23
Machine Learning For Multimodal Interaction written by Steve Renals and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-01-23 with Computers categories.
This book constitutes the thoroughly refereed post-proceedings of the Third International Workshop on Machine Learning for Multimodal Interaction, MLMI 2006, held in Bethesda, MD, USA, in May 2006. The papers are organized in topical sections on multimodal processing, image and video processing, HCI and applications, discourse and dialogue, speech and audio processing, and NIST meeting recognition evaluation.
Multimodal Human Computer Interaction And Pervasive Services
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Author : Grifoni, Patrizia
language : en
Publisher: IGI Global
Release Date : 2009-05-31
Multimodal Human Computer Interaction And Pervasive Services written by Grifoni, Patrizia and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2009-05-31 with Computers categories.
"This book provides concepts, methodologies, and applications used to design and develop multimodal systems"--Provided by publisher.
Multimodal Scene Understanding
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Author : Michael Ying Yang
language : en
Publisher: Academic Press
Release Date : 2019-07-16
Multimodal Scene Understanding written by Michael Ying Yang and has been published by Academic Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-16 with Technology & Engineering categories.
Multimodal Scene Understanding: Algorithms, Applications and Deep Learning presents recent advances in multi-modal computing, with a focus on computer vision and photogrammetry. It provides the latest algorithms and applications that involve combining multiple sources of information and describes the role and approaches of multi-sensory data and multi-modal deep learning. The book is ideal for researchers from the fields of computer vision, remote sensing, robotics, and photogrammetry, thus helping foster interdisciplinary interaction and collaboration between these realms. Researchers collecting and analyzing multi-sensory data collections – for example, KITTI benchmark (stereo+laser) - from different platforms, such as autonomous vehicles, surveillance cameras, UAVs, planes and satellites will find this book to be very useful. - Contains state-of-the-art developments on multi-modal computing - Shines a focus on algorithms and applications - Presents novel deep learning topics on multi-sensor fusion and multi-modal deep learning
Machine Learning For Multimodal Interaction
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Author : Samy Bengio
language : en
Publisher: Springer
Release Date : 2005-01-17
Machine Learning For Multimodal Interaction written by Samy Bengio and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2005-01-17 with Computers categories.
Machine Learning For Multimodal Interaction
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Author : Steve Renals
language : en
Publisher: Springer
Release Date : 2006-02-15
Machine Learning For Multimodal Interaction written by Steve Renals and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2006-02-15 with Computers categories.
This book constitutes the thoroughly refereed post-proceedings of the Second International Workshop on Machine Learning for Multimodal Interaction held in July 2005. The 38 revised full papers presented together with two invited papers were carefully selected during two rounds of reviewing and revision. The papers are organized in topical sections on multimodal processing, HCI and applications, discourse and dialogue, emotion, visual processing, speech and audio processing, and NIST meeting recognition evaluation.