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» Clustering with Multiple Graphs
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PDP
2003
IEEE
15 years 11 months ago
Scheduling strategies for mixed data and task parallelism on heterogeneous clusters and grids
We consider the execution of a complex application on a heterogeneous "grid" computing platform. The complex application consists of a suite of identical, independent pr...
Olivier Beaumont, Arnaud Legrand, Yves Robert
167
Voted
BMVC
2010
15 years 3 months ago
Graph-based Analysis of Textured Images for Hierarchical Segmentation
The Texture Fragmentation and Reconstruction (TFR) algorithm has been recently introduced [9] to address the problem of image segmentation by textural properties, based on a suita...
Raffaele Gaetano, Giuseppe Scarpa, Tamás Sz...
147
Voted
WEBI
2009
Springer
15 years 10 months ago
Summarizing Documents by Measuring the Importance of a Subset of Vertices within a Graph
— This paper presents a novel method of generating extractive summaries for multiple documents. Given a cluster of documents, we firstly construct a graph where each vertex repre...
Shouyuan Chen, Minlie Huang, Zhiyong Lu
157
Voted
KES
2004
Springer
15 years 11 months ago
Content-Based Image Retrieval Using Multiple Representations
Many different approaches for content-based image retrieval have been proposed in the literature. Successful approaches consider not only simple features like color, but also take ...
Karin Kailing, Hans-Peter Kriegel, Stefan Schö...
KDD
2006
ACM
156views Data Mining» more  KDD 2006»
16 years 6 months ago
Unsupervised learning on k-partite graphs
Various data mining applications involve data objects of multiple types that are related to each other, which can be naturally formulated as a k-partite graph. However, the resear...
Bo Long, Xiaoyun Wu, Zhongfei (Mark) Zhang, Philip...