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ICIP
2008
IEEE
16 years 6 months ago
Conditional iterative decoding of Two Dimensional Hidden Markov Models
Two Dimensional Hidden Markov Models (2D-HMMs) provide substantial benefits for many computer vision and image analysis applications. Many fundamental image analysis problems, inc...
Mehmet Emre Sargin, Alphan Altinok, Kenneth Rose, ...
WWW
2009
ACM
16 years 5 months ago
Towards context-aware search by learning a very large variable length hidden markov model from search logs
Capturing the context of a user's query from the previous queries and clicks in the same session may help understand the user's information need. A context-aware approac...
Huanhuan Cao, Daxin Jiang, Jian Pei, Enhong Chen, ...
ITS
2010
Springer
167views Multimedia» more  ITS 2010»
15 years 9 months ago
Characterizing the Effectiveness of Tutorial Dialogue with Hidden Markov Models
Identifying effective tutorial dialogue strategies is a key issue for intelligent tutoring systems research. Human-human tutoring offers a valuable model for identifying effective ...
Kristy Elizabeth Boyer, Robert Phillips, Amy Ingra...
CIVR
2006
Springer
15 years 8 months ago
Hierarchical Hidden Markov Model for Rushes Structuring and Indexing
Rushes footage are considered as cheap gold mine with the potential for reuse in broadcasting and filmmaking industries. However, it is difficult to mine the "gold" from ...
Chong-Wah Ngo, Zailiang Pan, Xiao-Yong Wei
ICPR
2010
IEEE
15 years 6 months ago
Noise-Robust Voice Activity Detector Based on Hidden Semi-Markov Models
This paper concentrates on speech duration distributions that are usually invariant to noises and proposes a noise-robust and real-time voice activity detector (VAD) using the hid...
Xianglong Liu, Yuan Liang, Yihua Lou, He Li, Baoso...