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» Classes and clusters in data analysis
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COLT
2008
Springer
15 years 7 months ago
Does Unlabeled Data Provably Help? Worst-case Analysis of the Sample Complexity of Semi-Supervised Learning
We study the potential benefits to classification prediction that arise from having access to unlabeled samples. We compare learning in the semi-supervised model to the standard, ...
Shai Ben-David, Tyler Lu, Dávid Pál
171
Voted
CIVR
2006
Springer
126views Image Analysis» more  CIVR 2006»
15 years 9 months ago
Semantics Supervised Cluster-Based Index for Video Databases
High-dimensional index is one of the most challenging tasks for content-based video retrieval (CBVR). Typically, in video database, there exist two kinds of clues for query: visual...
Zhiping Shi, Qingyong Li, Zhiwei Shi, Zhongzhi Shi
112
Voted
ICDAR
1995
IEEE
15 years 9 months ago
A system for data extraction from forms of known class
Francesca Cesarini, Marco Gori, Simone Marinai, Gi...
BMCBI
2008
134views more  BMCBI 2008»
15 years 5 months ago
Clustering cancer gene expression data: a comparative study
Background The use of clustering methods for the discovery of cancer subtypes has drawn a great deal of attention in the scientific community. While bioinformaticians have propose...
Marcílio Carlos Pereira de Souto, Ivan G. C...
CIC
2003
150views Communications» more  CIC 2003»
15 years 7 months ago
Performance Modeling of a Cluster of Workstations
Using off-the-shelf commodity workstations to build a cluster for parallel computing has become a common practice. In studying or designing a cluster of workstations one should ha...
Ahmed M. Mohamed, Lester Lipsky, Reda A. Ammar