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Machine Learning for Multimodal Interaction

Overview of attention for book
Cover of 'Machine Learning for Multimodal Interaction'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Visual Focus of Attention in Dynamic Meeting Scenarios
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    Chapter 2 Fast and Robust Face Tracking for Analyzing Multiparty Face-to-Face Meetings
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    Chapter 3 What Does the Face-Turning Action Imply in Consensus Building Communication?
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    Chapter 4 Distinguishing the Communicative Functions of Gestures
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    Chapter 5 Optimised Meeting Recording and Annotation Using Real-Time Video Analysis
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    Chapter 6 Ambiguity Modeling in Latent Spaces
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    Chapter 7 Inclusion of Video Information for Detection of Acoustic Events Using the Fuzzy Integral
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    Chapter 8 Audio-Visual Clustering for 3D Speaker Localization
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    Chapter 9 A Hybrid Generative-Discriminative Approach to Speaker Diarization
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    Chapter 10 A Neural Network Based Regression Approach for Recognizing Simultaneous Speech
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    Chapter 11 Hilbert Envelope Based Features for Far-Field Speech Recognition
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    Chapter 12 Multimodal Unit Selection for 2D Audiovisual Text-to-Speech Synthesis
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    Chapter 13 Decision-Level Fusion for Audio-Visual Laughter Detection
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    Chapter 14 Detection of Laughter-in-Interaction in Multichannel Close-Talk Microphone Recordings of Meetings
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    Chapter 15 Automatic Recognition of Spontaneous Emotions in Speech Using Acoustic and Lexical Features
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    Chapter 16 Daily Routine Classification from Mobile Phone Data
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    Chapter 17 Hybrid Multi-step Disfluency Detection
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    Chapter 18 Exploring Features and Classifiers for Dialogue Act Segmentation
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    Chapter 19 Detecting Action Items in Meetings
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    Chapter 20 Machine Learning for Multimodal Interaction
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    Chapter 21 Machine Learning for Multimodal Interaction
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    Chapter 22 Meta Comments for Summarizing Meeting Speech
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    Chapter 23 A Generic Layout-Tool for Summaries of Meetings in a Constraint-Based Approach
  25. Altmetric Badge
    Chapter 24 A Probabilistic Model for User Relevance Feedback on Image Retrieval
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    Chapter 25 The AMIDA Automatic Content Linking Device: Just-in-Time Document Retrieval in Meetings
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    Chapter 26 Introducing Additional Input Information into Interactive Machine Translation Systems
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    Chapter 27 Computer Assisted Transcription of Text Images and Multimodal Interaction
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    Chapter 28 Designing and Evaluating Meeting Assistants, Keeping Humans in Mind
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    Chapter 29 Making Remote ‘Meeting Hopping’ Work: Assistance to Initiate, Join and Leave Meetings
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    Chapter 30 Physicality and Cooperative Design
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    Chapter 31 Developing and Evaluating a Meeting Assistant Test Bed
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    Chapter 32 Extrinsic Summarization Evaluation: A Decision Audit Task
Attention for Chapter 25: The AMIDA Automatic Content Linking Device: Just-in-Time Document Retrieval in Meetings
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

blogs
1 blog

Readers on

mendeley
11 Mendeley
Summary Blogs
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Chapter title
The AMIDA Automatic Content Linking Device: Just-in-Time Document Retrieval in Meetings
Chapter number 25
Book title
Machine Learning for Multimodal Interaction
Published in
Lecture notes in computer science, January 2008
DOI 10.1007/978-3-540-85853-9_25
Book ISBNs
978-3-54-085852-2, 978-3-54-085853-9
Authors

Popescu-Belis, Andrei, Boertjes, Erik, Kilgour, Jonathan, Poller, Peter, Castronovo, Sandro, Wilson, Theresa, Jaimes, Alejandro, Carletta, Jean, Andrei Popescu-Belis, Erik Boertjes, Jonathan Kilgour, Peter Poller, Sandro Castronovo, Theresa Wilson, Alejandro Jaimes, Jean Carletta

View on publisher site
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Honduras 1 9%
Unknown 10 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 27%
Student > Bachelor 2 18%
Student > Master 2 18%
Student > Doctoral Student 1 9%
Student > Ph. D. Student 1 9%
Other 0 0%
Unknown 2 18%
Readers by discipline Count As %
Computer Science 9 82%
Unknown 2 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 9. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 08 February 2010.
All research outputs
#3,259,552
of 22,710,079 outputs
Outputs from Lecture notes in computer science
#753
of 8,122 outputs
Outputs of similar age
#13,797
of 155,917 outputs
Outputs of similar age from Lecture notes in computer science
#10
of 85 outputs
Altmetric has tracked 22,710,079 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,122 research outputs from this source. They receive a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 90% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 155,917 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 89% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.

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