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» The Catchment Feature Model for Multimodal Language Analysis
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MLMI
2005
Springer
14 years 26 days ago
Multimodal Integration for Meeting Group Action Segmentation and Recognition
We address the problem of segmentation and recognition of sequences of multimodal human interactions in meetings. These interactions can be seen as a rough structure of a meeting, ...
Marc Al-Hames, Alfred Dielmann, Daniel Gatica-Pere...
DRR
2010
13 years 9 months ago
Biomedical article retrieval using multimodal features and image annotations in region-based CBIR
Biomedical images are invaluable in establishing diagnosis, acquiring technical skills, and implementing best practices in many areas of medicine. At present, images needed for in...
Daekeun You, Sameer Antani, Dina Demner-Fushman, M...
ACL
2012
11 years 9 months ago
Fast Syntactic Analysis for Statistical Language Modeling via Substructure Sharing and Uptraining
Long-span features, such as syntax, can improve language models for tasks such as speech recognition and machine translation. However, these language models can be difficult to u...
Ariya Rastrow, Mark Dredze, Sanjeev Khudanpur
ICMCS
2005
IEEE
127views Multimedia» more  ICMCS 2005»
14 years 29 days ago
Multimodal Segmental-Based Modeling of Tennis Video Broadcasts
Efficient multimodal fusion is a key feature of future video indexing systems. Hidden Markov Models provide a powerful framework for video structure analysis but they require all...
Manolis Delakis, Guillaume Gravier, Patrick Gros
EACL
2006
ACL Anthology
13 years 8 months ago
What's There to Talk About? A Multi-Modal Model of Referring Behavior in the Presence of Shared Visual Information
This paper describes the development of a rule-based computational model that describes how a feature-based representation of shared visual information combines with linguistic cu...
Darren Gergle