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163
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ECML
2006
Springer
15 years 10 months ago
Fast Spectral Clustering of Data Using Sequential Matrix Compression
Spectral clustering has attracted much research interest in recent years since it can yield impressively good clustering results. Traditional spectral clustering algorithms first s...
Bo Chen, Bin Gao, Tie-Yan Liu, Yu-Fu Chen, Wei-Yin...
JMLR
2010
367views more  JMLR 2010»
15 years 1 months ago
Locally Linear Denoising on Image Manifolds
We study the problem of image denoising where images are assumed to be samples from low dimensional (sub)manifolds. We propose the algorithm of locally linear denoising. The algor...
Dian Gong, Fei Sha, Gérard G. Medioni
157
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KDD
2009
ACM
151views Data Mining» more  KDD 2009»
16 years 7 months ago
A LRT framework for fast spatial anomaly detection
Given a spatial data set placed on an n ? n grid, our goal is to find the rectangular regions within which subsets of the data set exhibit anomalous behavior. We develop algorithm...
Mingxi Wu, Xiuyao Song, Chris Jermaine, Sanjay Ran...
IPPS
2009
IEEE
16 years 1 months ago
Fast development of dense linear algebra codes on graphics processors
—We present an application programming interface (API) for the C programming language that facilitates the development of dense linear algebra algorithms on graphics processors a...
M. Jesús Zafont, Alberto F. Martín, ...
IPPS
2010
IEEE
15 years 4 months ago
Fast Smith-Waterman hardware implementation
The Smith-Waterman (SW) algorithm is one of the widely used algorithms for sequence alignment in computational biology. With the growing size of the sequence database, there is alw...
Zubair Nawaz, Koen Bertels, Huseyin Ekin Sumbul