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» Sensorimotor coupling via dynamic bayesian networks
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ICMCS
2006
IEEE
148views Multimedia» more  ICMCS 2006»
13 years 11 months ago
Acoustically-Driven Talking Face Synthesis using Dynamic Bayesian Networks
Dynamic Bayesian Networks (DBNs) have been widely studied in multi-modal speech recognition applications. Here, we introduce DBNs into an acoustically-driven talking face synthesi...
Jianxia Xue, Jonas Borgstrom, Jintao Jiang, Lynne ...
TREC
2003
13 years 6 months ago
Passage Scoring for Question Answering via Bayesian Inference on Lexical Relations
Many researchers have used lexical networks and ontologies to mitigate synonymy and polysemy problems in Question Answering (QA), systems coupled with taggers, query classifiers,...
Deepa Paranjpe, Ganesh Ramakrishnan, Sumana Sriniv...
ICMCS
2005
IEEE
173views Multimedia» more  ICMCS 2005»
13 years 11 months ago
A Multi-Modal Mixed-State Dynamic Bayesian Network for Robust Meeting Event Recognition from Disturbed Data
In this work we present a novel multi-modal mixed-state dynamic Bayesian network (DBN) for robust meeting event classification. The model uses information from lapel microphones,...
Marc Al-Hames, Gerhard Rigoll
ICPR
2008
IEEE
13 years 12 months ago
Robust modeling and recognition of hand gestures with dynamic Bayesian network
In this paper, we propose a new gesture recognition model for a set of both one-hand and two-hand gestures based on the dynamic Bayesian network framework which makes it easy to r...
Heung-Il Suk, Bong-Kee Sin, Seong-Whan Lee
DSN
2007
IEEE
13 years 12 months ago
Utilizing Dynamically Coupled Cores to Form a Resilient Chip Multiprocessor
Aggressive CMOS scaling will make future chip multiprocessors (CMPs) increasingly susceptible to transient faults, hard errors, manufacturing defects, and process variations. Exis...
Christopher LaFrieda, Engin Ipek, José F. M...