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BMCBI
2008
121views more  BMCBI 2008»
13 years 6 months ago
Microarray data mining using landmark gene-guided clustering
Background: Clustering is a popular data exploration technique widely used in microarray data analysis. Most conventional clustering algorithms, however, generate only one set of ...
Pankaj Chopra, Jaewoo Kang, Jiong Yang, HyungJun C...
DATE
2007
IEEE
118views Hardware» more  DATE 2007»
14 years 11 days ago
Statistical model order reduction for interconnect circuits considering spatial correlations
In this paper, we propose a novel statistical model order reduction technique, called statistical spectrum model order reduction (SSMOR) method, which considers both intra-die and...
Jeffrey Fan, Ning Mi, Sheldon X.-D. Tan, Yici Cai,...
TCS
2008
13 years 6 months ago
Computational self-assembly
The object of this paper is to appreciate the computational limits inherent in the combinatorics of an applied concurrent (aka agent-based) language . That language is primarily m...
Pierre-Louis Curien, Vincent Danos, Jean Krivine, ...
PAMI
2006
227views more  PAMI 2006»
13 years 6 months ago
Matching 2.5D Face Scans to 3D Models
The performance of face recognition systems that use two-dimensional images depends on factors such as lighting and subject's pose. We are developing a face recognition system...
Xiaoguang Lu, Anil K. Jain, Dirk Colbry
ICASSP
2011
IEEE
12 years 9 months ago
An adaptive bayesian clustering and multivariate region merging based technique for efficient segmentation of color images
We propose a methodology for improved segmentation of images in a Bayesian framework by fusion of color, texture and gradient information. The proposed algorithm is initialized by...
Sreenath Rao Vantaram, Eli Saber