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» Hierarchical Hidden Markov Models for Information Extraction
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ICASSP
2011
IEEE
14 years 5 months ago
Informative dialect recognition using context-dependent pronunciation modeling
We propose an informative dialect recognition system that learns phonetic transformation rules, and uses them to identify dialects. A hidden Markov model is used to align referenc...
Nancy F. Chen, Wade Shen, Joseph P. Campbell, Pedr...
CVPR
2010
IEEE
15 years 7 months ago
Towards Semantic Embedding in Visual Vocabulary
Visual vocabulary serves as a fundamental component in many computer vision tasks, such as object recognition, visual search, and scene modeling. While state-of-the-art approaches...
R.-R. Ji, Hongxun Yao, Xiaoshuai Sun
DAC
2011
ACM
14 years 1 months ago
Extracting behavior and dynamically generated hierarchy from SystemC models
SystemC is a popular modeling language which can be used to specify systems at bstraction level. Currently, SystemC tools can not cope with SystemC models for which the module hie...
Harry Broeders, René van Leuken
LOCA
2007
Springer
15 years 7 months ago
SocialMotion: Measuring the Hidden Social Life of a Building
In this paper we present an approach to analyzing the social behaviors that occur in a typical office space. We describe a system consisting of over 200 motion sensors connected ...
Christopher Richard Wren, Yuri A. Ivanov, Ishwinde...
IRI
2006
IEEE
15 years 7 months ago
Integration of low level linguistic information for clinical document semantic tagging
We propose a semantic tagger that provides high level concept information for phrases based on several kinds of low level information about words in clinical narrative texts. The ...
Hyeju Jang, Yun Jin, Sung-Hyon Myaeng