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» On Feature Selection through Clustering
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DAS
2010
Springer
13 years 6 months ago
Automatic unsupervised parameter selection for character segmentation
A major difficulty for designing a document image segmentation methodology is the proper value selection for all involved parameters. This is usually done after experimentations o...
Georgios Vamvakas, Nikolaos Stamatopoulos, Basilio...
31
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ICPR
2006
IEEE
14 years 8 months ago
Adaptive Feature Integration for Segmentation of 3D Data by Unsupervised Density Estimation
In this paper, a novel unsupervised approach for the segmentation of unorganized 3D points sets is proposed. The method derives by the mean shift clustering paradigm devoted to se...
Marco Cristani, Umberto Castellani, Vittorio Murin...
CVPR
2010
IEEE
13 years 5 months ago
Multi-structure model selection via kernel optimisation
Our goal is to fit the multiple instances (or structures) of a generic model existing in data. Here we propose a novel model selection scheme to estimate the number of genuine str...
Tat-Jun Chin, David Suter, Hanzi Wang
MM
2009
ACM
163views Multimedia» more  MM 2009»
14 years 2 months ago
ISP-friendly peer selection in P2P networks
Peer-to-peer (P2P) multicast is a scalable solution adopted by many video streaming systems. However, a prevalence of P2P applications has caused heavy traffic on the Internet. W...
Zhijie Shen, Roger Zimmermann
APWEB
2004
Springer
14 years 1 months ago
Semantic, Hierarchical, Online Clustering of Web Search Results
Today, search engine is the most commonly used tool for Web information retrieval, however, its current status is still far from satisfaction. This paper focuses on clustering Web...
Dell Zhang, Yisheng Dong