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» On the Complexity of Ordinal Clustering
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BIBE
2004
IEEE
160views Bioinformatics» more  BIBE 2004»
14 years 1 months ago
A Time Series Analysis of Microarray Data
As the capture and analysis of single-time-point microarray expression data becomes routine, investigators are turning to time-series expression data to investigate complex gene r...
Selnur Erdal, Ozgur Ozturk, David L. Armbruster, H...
DAC
2010
ACM
13 years 11 months ago
Detecting tangled logic structures in VLSI netlists
This work proposes a new problem of identifying large and tangled logic structures in a synthesized netlist. Large groups of cells that are highly interconnected to each other can...
Tanuj Jindal, Charles J. Alpert, Jiang Hu, Zhuo Li...
BMCBI
2005
152views more  BMCBI 2005»
13 years 10 months ago
CoPub Mapper: mining MEDLINE based on search term co-publication
Background: High throughput microarray analyses result in many differentially expressed genes that are potentially responsible for the biological process of interest. In order to ...
Blaise T. F. Alako, Antoine Veldhoven, Sjozef van ...
ICIP
2006
IEEE
14 years 12 months ago
Spatial and Color Spaces Combination for Natural Scene Text Extraction
Natural scene images brought new challenges for a few years and one of them is text understanding over images or videos. Text extraction which consists to segment textual foregrou...
Bernard Gosselin, Céline Mancas-Thillou
ICDE
2008
IEEE
141views Database» more  ICDE 2008»
14 years 11 months ago
A General Framework for Fast Co-clustering on Large Datasets Using Matrix Decomposition
Abstract-- Simultaneously clustering columns and rows (coclustering) of large data matrix is an important problem with wide applications, such as document mining, microarray analys...
Feng Pan, Xiang Zhang, Wei Wang 0010