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» A New Indexing Method for High Dimensional Dataset
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104
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SDM
2010
SIAM
181views Data Mining» more  SDM 2010»
15 years 2 months ago
Making k-means Even Faster
The k-means algorithm is widely used for clustering, compressing, and summarizing vector data. In this paper, we propose a new acceleration for exact k-means that gives the same a...
Greg Hamerly
135
Voted
BCB
2010
156views Bioinformatics» more  BCB 2010»
14 years 7 months ago
RepFrag: a graph based method for finding repeats and transposons from fragmented genomes
Growing sequencing and assembly efforts have been met by the advances in high throughput machines. However, the presence of massive amounts of repeats and transposons complicates ...
Nirmalya Bandyopadhyay, A. Mark Settles, Tamer Kah...
101
Voted
ICPR
2010
IEEE
14 years 11 months ago
Matching Groups of People by Covariance Descriptor
In this paper, we present a new solution to the problem of matching groups of people across multiple nonoverlapping cameras. Similar to the problem of matching individuals across ...
Yinghao Cai, Valtteri Takala, Matti Pietikäin...
138
Voted
BMCBI
2011
14 years 4 months ago
A fast and accurate method to detect allelic genomic imbalances underlying mosaic rearrangements using SNP array data
Background: Mosaicism for copy number and copy neutral chromosomal rearrangements has been recently identified as a relatively common source of genetic variation in the normal pop...
Juan R. González, Benjamin Rodriguez-Santia...
RAID
2010
Springer
14 years 11 months ago
On Challenges in Evaluating Malware Clustering
Malware clustering and classification are important tools that enable analysts to prioritize their malware analysis efforts. The recent emergence of fully automated methods for ma...
Peng Li, Limin Liu, Debin Gao, Michael K. Reiter