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» Hierarchical Hidden Markov Models for Information Extraction
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IEEEICCI
2006
IEEE
15 years 7 months ago
SenseNet: A Knowledge Representation Model for Computational Semantics
Knowledge representation is essential for semantics modeling and intelligent information processing. For decades researchers have proposed many knowledge representation techniques...
Ping Chen, Wei Ding 0003, Chengmin Ding
ACL
2012
13 years 3 months ago
Automatic Event Extraction with Structured Preference Modeling
This paper presents a novel sequence labeling model based on the latent-variable semiMarkov conditional random fields for jointly extracting argument roles of events from texts. ...
Wei Lu, Dan Roth
CVPR
2005
IEEE
16 years 3 months ago
2D Statistical Models of Facial Expressions for Realistic 3D Avatar Animation
We address the issue of modelling facial expressions for realistic 3D avatar animation. We introduce a hierarchical decomposition of a human face into different components and mod...
Lukasz Zalewski, Shaogang Gong
PERVASIVE
2006
Springer
15 years 1 months ago
Building Reliable Activity Models Using Hierarchical Shrinkage and Mined Ontology
Abstract. Activity inference based on object use has received considerable recent attention. Such inference requires statistical models that map activities to the objects used in p...
Emmanuel Munguia Tapia, Tanzeem Choudhury, Matthai...
ICASSP
2009
IEEE
15 years 8 months ago
Multi-modal activity and dominance detection in smart meeting rooms
In this paper a new approach for activity and dominance modeling in meetings is presented. For this purpose low level acoustic and visual features are extracted from audio and vid...
Benedikt Hörnler, Gerhard Rigoll