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» Linear Manifold Clustering
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87
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IPPS
2005
IEEE
15 years 6 months ago
Parallelization of Direct Algorithms using Multisplitting Methods in Grid Environments
The goal of this paper is to introduce a new approach to the building of efficient distributed linear system solvers. The starting point of the results of this paper lies in the ...
Jacques M. Bahi, Raphaël Couturier
101
Voted
ICCV
2007
IEEE
16 years 2 months ago
Mode-seeking by Medoidshifts
We present a nonparametric mode-seeking algorithm, called medoidshift, based on approximating the local gradient using a weighted estimate of medoids. Like meanshift, medoidshift ...
Yaser Sheikh, Erum A. Khan, Takeo Kanade
104
Voted
FPL
2006
Springer
125views Hardware» more  FPL 2006»
15 years 4 months ago
Application-Specific Memory Interleaving for FPGA-Based Grid Computations: A General Design Technique
Many compute-intensive applications generate single result values by accessing clusters of nearby points in grids of one, two, or more dimensions. Often, the performance of FGPA i...
Tom Van Court, Martin C. Herbordt
WABI
2010
Springer
160views Bioinformatics» more  WABI 2010»
14 years 11 months ago
Genomic Distance with DCJ and Indels
The double cut and join (DCJ) operation, introduced by Yancopoulos, Attie and Friedberg in 2005, allows one to represent most rearrangement events in genomes. However, a DCJ cannot...
Marília D. V. Braga, Eyla Willing, Jens Sto...
134
Voted
CVPR
2012
IEEE
13 years 3 months ago
Non-negative low rank and sparse graph for semi-supervised learning
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...
Liansheng Zhuang, Haoyuan Gao, Zhouchen Lin, Yi Ma...