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BMCBI
2008
122views more  BMCBI 2008»
13 years 7 months ago
A practical comparison of two K-Means clustering algorithms
Background: Data clustering is a powerful technique for identifying data with similar characteristics, such as genes with similar expression patterns. However, not all implementat...
Gregory A. Wilkin, Xiuzhen Huang
CGF
2010
163views more  CGF 2010»
13 years 7 months ago
Meshless Shape and Motion Design for Multiple Deformable Objects
We present physically based algorithms for interactive deformable shape and motion modeling. We coarsely sample the objects with simulation nodes, and apply a meshless finite elem...
Bart Adams, Martin Wicke, Maks Ovsjanikov, Michael...
CORR
2008
Springer
98views Education» more  CORR 2008»
13 years 7 months ago
Information-theoretic limits on sparse signal recovery: Dense versus sparse measurement matrices
We study the information-theoretic limits of exactly recovering the support set of a sparse signal, using noisy projections defined by various classes of measurement matrices. Our ...
Wei Wang, Martin J. Wainwright, Kannan Ramchandran
ALGORITHMICA
2006
139views more  ALGORITHMICA 2006»
13 years 7 months ago
CONQUEST: A Coarse-Grained Algorithm for Constructing Summaries of Distributed Discrete Datasets
Abstract. In this paper we present a coarse-grained parallel algorithm, CONQUEST, for constructing boundederror summaries of high-dimensional binary attributed data in a distribute...
Jie Chi, Mehmet Koyutürk, Ananth Grama
ARTMED
2006
86views more  ARTMED 2006»
13 years 7 months ago
Spatiotemporal reasoning about epidemiological data
Objective. In this article, we propose new methods to visualize and reason about spatiotemporal epidemiological data. Background. Efficient computerized reasoning about epidemics ...
Peter Z. Revesz, Shasha Wu
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