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» Clustering with Multiple Graphs
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ICPP
1999
IEEE
15 years 4 months ago
SLC: Symbolic Scheduling for Executing Parameterized Task Graphs on Multiprocessors
Task graph scheduling has been found effective in performance prediction and optimization of parallel applications. A number of static scheduling algorithms have been proposed for...
Michel Cosnard, Emmanuel Jeannot, Tao Yang
111
Voted
ICDM
2002
IEEE
162views Data Mining» more  ICDM 2002»
15 years 5 months ago
Phrase-based Document Similarity Based on an Index Graph Model
Document clustering techniques mostly rely on single term analysis of the document data set, such as the Vector Space Model. To better capture the structure of documents, the unde...
Khaled M. Hammouda, Mohamed S. Kamel
112
Voted
PAMI
2006
141views more  PAMI 2006»
15 years 14 days ago
Diffusion Maps and Coarse-Graining: A Unified Framework for Dimensionality Reduction, Graph Partitioning, and Data Set Parameter
We provide evidence that non-linear dimensionality reduction, clustering and data set parameterization can be solved within one and the same framework. The main idea is to define ...
Stéphane Lafon, Ann B. Lee
147
Voted
CORR
2006
Springer
151views Education» more  CORR 2006»
15 years 17 days ago
Graph Laplacians and their convergence on random neighborhood graphs
Given a sample from a probability measure with support on a submanifold in Euclidean space one can construct a neighborhood graph which can be seen as an approximation of the subm...
Matthias Hein, Jean-Yves Audibert, Ulrike von Luxb...
FPL
2006
Springer
242views Hardware» more  FPL 2006»
15 years 4 months ago
TMD-MPI: An MPI Implementation for Multiple Processors Across Multiple FPGAs
With current FPGAs, designers can now instantiate several embedded processors, memory units, and a wide variety of IP blocks to build a single-chip, high-performance multiprocesso...
Manuel Saldaña, Paul Chow