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IJON
2010
121views more  IJON 2010»
13 years 4 months ago
Sample-dependent graph construction with application to dimensionality reduction
Graph construction plays a key role on learning algorithms based on graph Laplacian. However, the traditional graph construction approaches of -neighborhood and k-nearest-neighbor...
Bo Yang, Songcan Chen
ALMOB
2006
89views more  ALMOB 2006»
13 years 7 months ago
On the maximal cliques in c-max-tolerance graphs and their application in clustering molecular sequences
Given a set S of n locally aligned sequences, it is a needed prerequisite to partition it into groups of very similar sequences to facilitate subsequent computations, such as the ...
Katharina Anna Lehmann, Michael Kaufmann, Stephan ...
IJCAI
2007
13 years 9 months ago
Web Page Clustering Using Heuristic Search in the Web Graph
Effective representation of Web search results remains an open problem in the Information Retrieval community. For ambiguous queries, a traditional approach is to organize search ...
Ron Bekkerman, Shlomo Zilberstein, James Allan
IPMI
2011
Springer
12 years 11 months ago
Globally Optimal Tumor Segmentation in PET-CT Images: A Graph-Based Co-segmentation Method
Tumor segmentation in PET and CT images is notoriously challenging due to the low spatial resolution in PET and low contrast in CT images. In this paper, we proposed a general fram...
Dongfeng Han, John E. Bayouth, Qi Song, Aakant Tau...
BIBE
2007
IEEE
195views Bioinformatics» more  BIBE 2007»
14 years 2 months ago
Finding Clusters of Positive and Negative Coregulated Genes in Gene Expression Data
— In this paper, we propose a system for finding partial positive and negative coregulated gene clusters in microarray data. Genes are clustered together if they show the same p...
Kerstin Koch, Stefan Schönauer, Ivy Jansen, J...