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» Approximation Algorithms for Data Placement Problems
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PAMI
2011
13 years 2 months ago
Approximately Global Optimization for Robust Alignment of Generalized Shapes
—In this paper, we introduce a novel method to solve shape alignment problems. We use gray-scale “images” to represent source shapes, and propose a novel two-component Gaussi...
Hongsheng Li, Tian Shen, Xiaolei Huang
ICDE
2008
IEEE
124views Database» more  ICDE 2008»
14 years 9 months ago
Mining Approximate Order Preserving Clusters in the Presence of Noise
Subspace clustering has attracted great attention due to its capability of finding salient patterns in high dimensional data. Order preserving subspace clusters have been proven to...
Mengsheng Zhang, Wei Wang 0010, Jinze Liu
FOCS
2006
IEEE
14 years 1 months ago
On the Optimality of the Dimensionality Reduction Method
We investigate the optimality of (1+ )-approximation algorithms obtained via the dimensionality reduction method. We show that: • Any data structure for the (1 + )-approximate n...
Alexandr Andoni, Piotr Indyk, Mihai Patrascu
ICALP
2010
Springer
14 years 19 days ago
Clustering with Diversity
Abstract. We consider the clustering with diversity problem: given a set of colored points in a metric space, partition them into clusters such that each cluster has at least point...
Jian Li, Ke Yi, Qin Zhang
RECOMB
2010
Springer
14 years 2 months ago
The Clark Phase-able Sample Size Problem: Long-Range Phasing and Loss of Heterozygosity in GWAS
A phase transition is taking place today. The amount of data generated by genome resequencing technologies is so large that in some cases it is now less expensive to repeat the exp...
Bjarni V. Halldórsson, Derek Aguiar, Ryan T...