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» On Feature Selection through Clustering
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ICPR
2008
IEEE
14 years 2 months ago
A new HMM for on-line character recognition using pen-direction and pen-coordinate features
A new hidden Markov model (HMM) is proposed for on-line character recognition using two typical features, pen-direction feature and pen-coordinate feature. These two features are ...
Yoshinori Katayama, Seiichi Uchida, Hiroaki Sakoe
ICPR
2002
IEEE
14 years 8 months ago
Unsupervised Robust Clustering for Image Database Categorization
Content-based image retrieval can be dramatically improved by providing a good initial database overview to the user. To address this issue, we present in this paper the Adaptive ...
Bertrand Le Saux, Nozha Boujemaa
CGF
2008
128views more  CGF 2008»
13 years 7 months ago
Hierarchical Convex Approximation of 3D Shapes for Fast Region Selection
Given a 3D solid model S represented by a tetrahedral mesh, we describe a novel algorithm to compute a hierarchy of convex polyhedra that tightly enclose S. The hierarchy can be b...
Marco Attene, Michela Mortara, Michela Spagnuolo, ...
CLUSTER
2004
IEEE
13 years 7 months ago
Performance Evaluation of Shared Mesh Protection in WDM Networks
The efficient use of network capacity in shared restoration schemes strongly depends upon the path selection procedure. In this paper we propose and evaluate path selection algorit...
Chadi Assi, Ahmad Khalil, Nasir Ghani, Abdallah Sh...
CORR
2010
Springer
185views Education» more  CORR 2010»
13 years 7 months ago
Acdmcp: An adaptive and completely distributed multi-hop clustering protocol for wireless sensor networks
Clustering is a very popular network structuring technique which mainly addresses the issue of scalability in large scale Wireless Sensor Networks. Additionally, it has been shown...
Khalid Nawaz, Alejandro P. Buchmann