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ECCV
2010
Springer
15 years 4 months ago
Texture Regimes for Entropy-Based Multiscale Image Analysis
We present an approach to multiscale image analysis. It hinges on an operative definition of texture that involves a "small region", where some (unknown) statistic is agg...
Sylvain Boltz, Frank Nielsen, Stefano Soatto
164
Voted
BIOINFORMATICS
2007
190views more  BIOINFORMATICS 2007»
15 years 3 months ago
Towards clustering of incomplete microarray data without the use of imputation
Motivation: Clustering technique is used to find groups of genes that show similar expression patterns under multiple experimental conditions. Nonetheless, the results obtained by...
Dae-Won Kim, Ki Young Lee, Kwang H. Lee, Doheon Le...
156
Voted
BMCBI
2010
214views more  BMCBI 2010»
15 years 3 months ago
AutoSOME: a clustering method for identifying gene expression modules without prior knowledge of cluster number
Background: Clustering the information content of large high-dimensional gene expression datasets has widespread application in "omics" biology. Unfortunately, the under...
Aaron M. Newman, James B. Cooper
181
Voted
CORR
2007
Springer
111views Education» more  CORR 2007»
15 years 3 months ago
Link Scheduling in STDMA Wireless Networks: A Line Graph Approach
—We consider point to point link scheduling in Spatial Time Division Multiple Access (STDMA) wireless networks under the physical interference model. We propose a novel link sche...
N. Praneeth Kumar, Ashutosh Deepak Gore, Abhay Kar...
135
Voted
SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
16 years 28 days ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li