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» Experimental Evaluation of Hierarchical Hidden Markov Models
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ICDAR
2007
IEEE
16 years 14 days ago
Handwritten Word Recognition Using Conditional Random Fields
The paper describes a lexicon driven approach for word recognition on handwritten documents using Conditional Random Fields(CRFs). CRFs are discriminative models and do not make a...
Shravya Shetty, Harish Srinivasan, Sargur N. Sriha...
DMIN
2007
168views Data Mining» more  DMIN 2007»
15 years 7 months ago
On Clustering Users' Behaviors in Video Sessions
We study the extraction of characteristics of user behavior in video session encoded as stochastic matrices of finite Markov chain. These behaviors are clustered using a dissimil...
Sylvain Mongy, Chabane Djeraba, Dan A. Simovici
ICIP
2003
IEEE
16 years 7 months ago
Deformable face mapping for person identification
This paper introduces a novel deformable model for face mapping and its application to automatic person identification. While most face recognition techniques directly model the f...
Florent Perronnin, Jean-Luc Dugelay, Kenneth Rose
FLAIRS
2004
15 years 7 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
ISBI
2008
IEEE
16 years 17 days ago
Support vector driven Markov random fields towards DTI segmentation of the human skeletal muscle
In this paper we propose a classification-based method towards the segmentation of diffusion tensor images. We use Support Vector Machines to classify diffusion tensors and we ex...
Radhouène Neji, Gilles Fleury, Jean Francoi...