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» Hidden Markov Models with Multiple Observation Processes
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154
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ICIP
2007
IEEE
16 years 5 months ago
A HMM-Based Method for Recognizing Dynamic Video Contents from Trajectories
This paper describes an original method for classifying object motion trajectories in video sequences in order to recognize dynamic events. Similarities between trajectories are e...
Alexandre Hervieu, Patrick Bouthemy, Jean-Pierre L...
137
Voted
ICASSP
2010
IEEE
15 years 4 months ago
Automatic state discovery for unstructured audio scene classification
In this paper we present a novel scheme for unstructured audio scene classification that possesses three highly desirable and powerful features: autonomy, scalability, and robust...
Julian Ramos, Sajid M. Siddiqi, Artur Dubrawski, G...
134
Voted
TIST
2011
136views more  TIST 2011»
14 years 11 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
149
Voted
FLAIRS
2004
15 years 5 months ago
Semi-Supervised Sequence Classification with HMMs
Using unlabeled data to help supervised learning has become an increasingly attractive methodology and proven to be effective in many applications. This paper applies semi-supervi...
Shi Zhong
BMCBI
2005
169views more  BMCBI 2005»
15 years 3 months ago
MAPPER: a search engine for the computational identification of putative transcription factor binding sites in multiple genomes
Background: Cis-regulatory modules are combinations of regulatory elements occurring in close proximity to each other that control the spatial and temporal expression of genes. Th...
Voichita D. Marinescu, Isaac S. Kohane, Alberto Ri...