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ACL
1997
13 years 11 months ago
Mistake-Driven Mixture of Hierarchical Tag Context Trees
This paper proposes a mistake-driven mixture method for learning a tag model. The method iteratively performs two proce
Masahiko Haruno, Yuji Matsumoto
MICCAI
2003
Springer
14 years 10 months ago
Assessing Early Brain Development in Neonates by Segmentation of High-Resolution 3T MRI
Abstract. This paper describes effort towards automatic tissue segmentation in neonatal MRI. Extremely low contrast to noise ratio (CNR), regional intensity changes due to RF coil ...
Guido Gerig, Marcel Prastawa, Weili Lin, John H. G...
ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
14 years 3 months ago
Probabilistic User Behavior Models
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
Eren Manavoglu, Dmitry Pavlov, C. Lee Giles
BMVC
2010
13 years 7 months ago
Accurate and Efficient Face Recognition from Video
As a problem of high practical appeal but outstanding challenges, computer-based face recognition remains a topic of extensive research attention. In this paper we are specificall...
Ognjen Arandjelovic
ICASSP
2010
IEEE
13 years 10 months ago
Subspace Gaussian Mixture Models for speech recognition
We describe an acoustic modeling approach in which all phonetic states share a common Gaussian Mixture Model structure, and the means and mixture weights vary in a subspace of the...
Daniel Povey, Lukas Burget, Mohit Agarwal, Pinar A...