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» Hierarchical Hidden Markov Models for Information Extraction
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3DIM
2003
IEEE
15 years 6 months ago
Adaptive Enhancement of 3D Scenes using Hierarchical Registration of Texture-Mapped 3D models
Adaptive fusion of new information in a 3D urban scene is an important goal to achieve in computer vision, graphics, and visualization. In this work we acquire new image pairs of ...
Srikumar Ramalingam, Suresh K. Lodha
ICASSP
2011
IEEE
14 years 5 months ago
Gesture-based Dynamic Bayesian Network for noise robust speech recognition
Previously we have proposed different models for estimating articulatory gestures and vocal tract variable (TV) trajectories from synthetic speech. We have shown that when deploye...
Vikramjit Mitra, Hosung Nam, Carol Y. Espy-Wilson,...
WWW
2006
ACM
16 years 2 months ago
Logical structure based semantic relationship extraction from semi-structured documents
Addressed in this paper is the issue of semantic relationship extraction from semi-structured documents. Many research efforts have been made so far on the semantic information ex...
Kuo Zhang, Gang Wu, Juan-Zi Li
IPCV
2008
15 years 2 months ago
Speech Recognition System of Arabic Digits based on A Telephony Arabic Corpus
- Automatic recognition of spoken digits is one of the difficult tasks in the field of computer speech recognition. Spoken digits recognition process is required in many applicatio...
Yousef Alotaibi, Mansour Al-Ghamdi, Fahad Alotaiby
FLAIRS
2009
14 years 11 months ago
Analyzing Team Actions with Cascading HMM
While team action recognition has a relatively extended literature, less attention has been given to the detailed realtime analysis of the internal structure of the team actions. ...
Brandyn Allen White, Nate Blaylock, Ladislau B&oum...