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» A practical comparison of two K-Means clustering algorithms
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CVPR
2003
IEEE
16 years 1 months ago
Clustering Appearances of Objects Under Varying Illumination Conditions
We introduce two appearance-based methods for clustering a set of images of 3-D objects, acquired under varying illumination conditions, into disjoint subsets corresponding to ind...
Jeffrey Ho, Ming-Hsuan Yang, Jongwoo Lim, Kuang-Ch...
BMCBI
2005
122views more  BMCBI 2005»
14 years 11 months ago
GenClust: A genetic algorithm for clustering gene expression data
Background: Clustering is a key step in the analysis of gene expression data, and in fact, many classical clustering algorithms are used, or more innovative ones have been designe...
Vito Di Gesù, Raffaele Giancarlo, Giosu&egr...
CAIP
1995
Springer
189views Image Analysis» more  CAIP 1995»
15 years 3 months ago
Spatial and Feature Space Clustering: Applications in Image Analysis
We propose a novel approach to image segmentation, called feature and spatial domain clustering. The method is devised to group pixel data by taking into account simultaneously bo...
Jiri Matas, Josef Kittler
BMCBI
2004
150views more  BMCBI 2004»
14 years 11 months ago
Cross-species comparison significantly improves genome-wide prediction of cis-regulatory modules in Drosophila
Background: The discovery of cis-regulatory modules in metazoan genomes is crucial for understanding the connection between genes and organism diversity. It is important to quanti...
Saurabh Sinha, Mark D. Schroeder, Ulrich Unnerstal...
VTC
2006
IEEE
129views Communications» more  VTC 2006»
15 years 5 months ago
Practicable MIMO Capacity in Ideal Channels
— The impact of communications signal processing such as QAM modulations (instead of gaussian signals), finite block lengths (instead of infinitely long codes), and using simpl...
S. Amir Mirtaheri, Rodney G. Vaughan