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» A divide-and-merge methodology for clustering
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BMCBI
2004
117views more  BMCBI 2004»
14 years 10 months ago
Cancer characterization and feature set extraction by discriminative margin clustering
Background: A central challenge in the molecular diagnosis and treatment of cancer is to define a set of molecular features that, taken together, distinguish a given cancer, or ty...
Kamesh Munagala, Robert Tibshirani, Patrick O. Bro...
TIP
2010
131views more  TIP 2010»
14 years 4 months ago
Orientation Modulation for Data Hiding in Clustered-Dot Halftone Prints
We present a new framework for data hiding in images printed with clustered dot halftones. Our application scenario, like other hardcopy embedding methods, encounters fundamental c...
Orhan Bulan, Gaurav Sharma, Vishal Monga
VLSID
2009
IEEE
115views VLSI» more  VLSID 2009»
15 years 10 months ago
Efficient Techniques for Directed Test Generation Using Incremental Satisfiability
Functional validation is a major bottleneck in the current SOC design methodology. While specification-based validation techniques have proposed several promising ideas, the time ...
Prabhat Mishra, Mingsong Chen
COMPSEC
2010
122views more  COMPSEC 2010»
14 years 8 months ago
Taming role mining complexity in RBAC
In this paper we address the problem of reducing the role mining complexity in RBAC systems. To this aim, we propose a three steps methodology: first, we associate a weight to rol...
Alessandro Colantonio, Roberto Di Pietro, Alberto ...
ICIP
2002
IEEE
15 years 11 months ago
Boosting face recognition on a large-scale database
Performance of many state-of-the-art face recognition (FR) methods deteriorates rapidly, when large in size databases are considered. In this paper, we propose a novel clustering ...
Juwei Lu, Konstantinos N. Plataniotis