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BIBE
2007
IEEE
134views Bioinformatics» more  BIBE 2007»
13 years 11 months ago
Bottom-Up Multiple Row Addition Algorithms for the Biclustering-Problem
Abstract—The discovery of locally and significantly correlated subpatterns within a two-dimensional dataset has recently become quite popular and is amongst others addressed by ...
Hyung-Won Koh, Lars Hildebrand
BMCBI
2008
148views more  BMCBI 2008»
13 years 5 months ago
Discovering biclusters in gene expression data based on high-dimensional linear geometries
Background: In DNA microarray experiments, discovering groups of genes that share similar transcriptional characteristics is instrumental in functional annotation, tissue classifi...
Xiangchao Gan, Alan Wee-Chung Liew, Hong Yan
SDM
2011
SIAM
198views Data Mining» more  SDM 2011»
12 years 8 months ago
Exemplar-based Robust Coherent Biclustering
The biclustering, co-clustering, or subspace clustering problem involves simultaneously grouping the rows and columns of a data matrix to uncover biclusters or sub-matrices of the...
Kewei Tu, Xixiu Ouyang, Dingyi Han, Vasant Honavar
TVLSI
2010
13 years 1 days ago
Pattern Sensitive Placement Perturbation for Manufacturability
The gap between VLSI technology and fabrication technology leads to strong refractive effects in lithography. Consequently, it is a huge challenge to reliably print layout features...
Shiyan Hu, Patrik Shah, Jiang Hu
KDD
2012
ACM
207views Data Mining» more  KDD 2012»
11 years 7 months ago
Robust multi-task feature learning
Multi-task learning (MTL) aims to improve the performance of multiple related tasks by exploiting the intrinsic relationships among them. Recently, multi-task feature learning alg...
Pinghua Gong, Jieping Ye, Changshui Zhang