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» Active Hidden Markov Models for Information Extraction
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TIP
2008
165views more  TIP 2008»
14 years 11 months ago
Activity Modeling Using Event Probability Sequences
Changes in motion properties of trajectories provide useful cues for modeling and recognizing human activities. We associate an event with significant changes that are localized in...
Naresh P. Cuntoor, B. Yegnanarayana, Rama Chellapp...
TIST
2011
136views more  TIST 2011»
14 years 6 months ago
Probabilistic models for concurrent chatting activity recognition
Recognition of chatting activities in social interactions is useful for constructing human social networks. However, the existence of multiple people involved in multiple dialogue...
Jane Yung-jen Hsu, Chia-chun Lian, Wan-rong Jih
ICASSP
2011
IEEE
14 years 3 months ago
Combining HMM-based melody extraction and NMF-based soft masking for separating voice and accompaniment from monaural audio
Modern monaural voice and accompaniment separation systems usually consist of two main modules: melody extraction and timefrequency masking. A main distinction between different s...
Yun Wang, Zhijian Ou
ICDAR
2009
IEEE
14 years 9 months ago
Stochastic Segment Modeling for Offline Handwriting Recognition
In this paper, we present a novel approach for incorporating structural information into the hidden Markov Modeling (HMM) framework for offline handwriting recognition. Traditiona...
Premkumar Natarajan, Krishna Subramanian, Anurag B...
WWW
2001
ACM
16 years 14 days ago
Crawling the Hidden Web
Current-day crawlers retrieve content only from the publicly indexable Web, i.e., the set of Web pages reachable purely by following hypertext links, ignoring search forms and pag...
Sriram Raghavan, Hector Garcia-Molina