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BIBE
2007
IEEE
134views Bioinformatics» more  BIBE 2007»
14 years 15 days 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 6 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 9 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 25 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 8 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