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CSDA
2007
99views more  CSDA 2007»
14 years 11 months ago
CLUES: A non-parametric clustering method based on local shrinking
In this paper, we propose a novel non-parametric clustering method based on non-parametric local shrinking. Each data point is transformed in such a way that it moves a specific ...
Xiaogang Wang, Weiliang Qiu, Ruben H. Zamar
LCPC
2005
Springer
15 years 5 months ago
Applying Data Copy to Improve Memory Performance of General Array Computations
Abstract. Data copy is an important compiler optimization which dynamically rearranges the layout of arrays by copying their elements into local buffers. Traditionally, array copy...
Qing Yi
POPL
2006
ACM
16 years 2 days ago
A hierarchical model of data locality
In POPL 2002, Petrank and Rawitz showed a universal result-finding optimal data placement is not only NP-hard but also impossible to approximate within a constant factor if P = NP...
Chengliang Zhang, Chen Ding, Mitsunori Ogihara, Yu...
TSP
2010
14 years 6 months ago
Decentralized sparse signal recovery for compressive sleeping wireless sensor networks
Abstract--This paper develops an optimal decentralized algorithm for sparse signal recovery and demonstrates its application in monitoring localized phenomena using energy-constrai...
Qing Ling, Zhi Tian
ECCV
2002
Springer
16 years 1 months ago
Visual Data Fusion for Objects Localization by Active Vision
Visual sensors provide exclusively uncertain and partial knowledge of a scene. In this article, we present a suitable scene knowledge representation that makes integration and fusi...
François Chaumette, Grégory Flandin