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» Coupled hidden Markov models for complex action recognition
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SSPR
2004
Springer
14 years 22 days ago
Understanding Human-Computer Interactions in Map Revision
Abstract. It is difficult to track, parse and model human-computer interactions during editing and revising of documents, but it is necessary if we are to develop automated technol...
Jun Zhou, Walter F. Bischof, Terry Caelli
ICML
2008
IEEE
14 years 8 months ago
Reinforcement learning with limited reinforcement: using Bayes risk for active learning in POMDPs
Partially Observable Markov Decision Processes (POMDPs) have succeeded in planning domains that require balancing actions that increase an agent's knowledge and actions that ...
Finale Doshi, Joelle Pineau, Nicholas Roy
CVPR
1998
IEEE
14 years 9 months ago
Action Recognition Using Probabilistic Parsing
A new approach to the recognition of temporal behaviors and activities is presented. The fundamental idea, inspired by work in speech recognition, is to divide the inference probl...
Aaron F. Bobick, Yuri A. Ivanov
MVA
2007
207views Computer Vision» more  MVA 2007»
13 years 8 months ago
View-invariant Human Action Recognition Based on Factorization and HMMs
of the fundamental challenges of human action recognition is accounting for the variability that arises during video capturing. For a specific action class, the 2D observations of...
Xi Li, Kazuhiro Fukui
FGR
2011
IEEE
209views Biometrics» more  FGR 2011»
12 years 11 months ago
Modeling hidden dynamics of multimodal cues for spontaneous agreement and disagreement recognition
— This paper attempts to recognize spontaneous agreement and disagreement based only on nonverbal multimodal cues. Related work has mainly used verbal and prosodic cues. We demon...
Konstantinos Bousmalis, Louis-Philippe Morency, Ma...