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» Hierarchical Hidden Markov Models for Information Extraction
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ICIP
2003
IEEE
16 years 3 months ago
A hidden Markov model based framework for recognition of humans from gait sequences
In this paper we propose a generic framework based on Hidden Markov Models (HMMs) for recognition of individuals from their gait. The HMM framework is suitable, because the gait o...
Aravind Sundaresan, Amit K. Roy Chowdhury, Rama Ch...
ICMCS
2000
IEEE
138views Multimedia» more  ICMCS 2000»
15 years 5 months ago
Event-Coupled Hidden Markov Models
Inferences from time-series data can be greatly enhanced by taking into account multiple modalities. In some cases, such as audio of speech and the corresponding video of lip gest...
Trausti T. Kristjansson, Brendan J. Frey, Thomas S...
ICASSP
2011
IEEE
14 years 5 months ago
A modified MAP criterion based on hidden Markov model for voice activity detecion
The maximum a posteriori (MAP) criterion is broadly used in the statistical model-based voice activity detection (VAD) approaches. In the conventional MAP criterion, however, the ...
Shiwen Deng, Jiqing Han, Tieran Zheng, Guibin Zhen...
DAWAK
2007
Springer
15 years 7 months ago
Mining Trajectory Patterns Using Hidden Markov Models
Many studies of spatiotemporal pattern discovery partition data space into disjoint cells for effective processing. However, the discovery accuracy of the space-partitioning schem...
Hoyoung Jeung, Heng Tao Shen, Xiaofang Zhou
ISMIR
2005
Springer
205views Music» more  ISMIR 2005»
15 years 7 months ago
Learning Harmonic Relationships in Digital Audio with Dirichlet-Based Hidden Markov Models
Harmonic analysis is a standard musicological tool for understanding many pieces of Western classical music and making comparisons among them. Traditionally, this analysis is done...
J. Ashley Burgoyne, Lawrence K. Saul