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» Computational Model of Speech Understanding
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132
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CVPR
2008
IEEE
16 years 3 months ago
A hierarchical and contextual model for aerial image understanding
In this paper we present a novel method for parsing aerial images with a hierarchical and contextual model learned in a statistical framework. We learn hierarchies at the scene an...
Jake Porway, Kristy Wang, Benjamin Yao, Song Chun ...
CVPR
2012
IEEE
13 years 4 months ago
Understanding collective crowd behaviors: Learning a Mixture model of Dynamic pedestrian-Agents
In this paper, a new Mixture model of Dynamic pedestrian-Agents (MDA) is proposed to learn the collective behavior patterns of pedestrians in crowded scenes. Collective behaviors ...
Bolei Zhou, Xiaogang Wang, Xiaoou Tang
107
Voted
CHI
2007
ACM
16 years 2 months ago
Understanding and developing models for detecting and differentiating breakpoints during interactive tasks
The ability to detect and differentiate breakpoints during task execution is critical for enabling defer-to-breakpoint policies within interruption management. In this work, we ex...
Shamsi T. Iqbal, Brian P. Bailey
143
Voted
CVPR
2007
IEEE
16 years 3 months ago
A Unified Probabilistic Framework for Facial Activity Modeling and Understanding
Facial activities are the most natural and powerful means of human communication. Spontaneous facial activity is characterized by rigid head movements, non-rigid facial muscular m...
Yan Tong, Wenhui Liao, Zheng Xue, Qiang Ji
121
Voted
ACL
2004
15 years 3 months ago
Head-Driven Parsing for Word Lattices
We present the first application of the head-driven statistical parsing model of Collins (1999) as a simultaneous language model and parser for largevocabulary speech recognition....
Christopher Collins, Bob Carpenter, Gerald Penn