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» Clustering Similarity Comparison Using Density Profiles
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BMCBI
2008
124views more  BMCBI 2008»
13 years 7 months ago
Inferring modules of functionally interacting proteins using the Bond Energy Algorithm
Background: Non-homology based methods such as phylogenetic profiles are effective for predicting functional relationships between proteins with no considerable sequence or struct...
Ryosuke Watanabe, Enrique Morett, Edgar E. Vallejo
ICIP
2006
IEEE
14 years 9 months ago
Background Modeling from GMM Likelihood Combined with Spatial and Color Coherency
This paper proposes to combine spatial and color coherency with the pixel-wise GMM to determine the background model. We first represent each pixel with a hybrid feature vector, w...
Sheng-Yan Yang, Chiou-Ting Hsu
BMCBI
2005
198views more  BMCBI 2005»
13 years 7 months ago
Clustering protein sequences with a novel metric transformed from sequence similarity scores and sequence alignments with neural
Background: The sequencing of the human genome has enabled us to access a comprehensive list of genes (both experimental and predicted) for further analysis. While a majority of t...
Qicheng Ma, Gung-Wei Chirn, Richard Cai, Joseph D....
DMIN
2006
111views Data Mining» more  DMIN 2006»
13 years 8 months ago
Profiling and Clustering Internet Hosts
Identifying groups of Internet hosts with a similar behavior is very useful for many applications of Internet security control, such as DDoS defense, worm and virus detection, dete...
Songjie Wei, Jelena Mirkovic, Ezra Kissel
ICASSP
2011
IEEE
12 years 11 months ago
Polytope kernel density estimates on Delaunay graphs
We present a polytope-kernel density estimation (PKDE) methodology that allows us to perform exact mean-shift updates along the edges of the Delaunay graph of the data. We discuss...
Erhan Bas, Deniz Erdogmus