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KDD
2000
ACM
149views Data Mining» more  KDD 2000»
13 years 10 months ago
Efficient clustering of high-dimensional data sets with application to reference matching
Many important problems involve clustering large datasets. Although naive implementations of clustering are computationally expensive, there are established efficient techniques f...
Andrew McCallum, Kamal Nigam, Lyle H. Ungar
ISAAC
2010
Springer
291views Algorithms» more  ISAAC 2010»
13 years 4 months ago
A Tighter Analysis of Work Stealing
Abstract. Classical list scheduling is a very popular and efficient technique for scheduling jobs in parallel platforms. However, with the increasing number of processors, the cost...
Marc Tchiboukdjian, Nicolas Gast, Denis Trystram, ...
MICCAI
2000
Springer
13 years 10 months ago
Efficient Semiautomatic Segmentation of 3D Objects in Medical Images
Abstract. We present a fast and accurate tool for semiautomatic segmentation of volumetric medical images based on the live wire algorithm, shape-based interpolation and a new opti...
Andrea Schenk, Guido P. M. Prause, Heinz-Otto Peit...
APPROX
2005
Springer
111views Algorithms» more  APPROX 2005»
13 years 12 months ago
Sampling Bounds for Stochastic Optimization
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
Moses Charikar, Chandra Chekuri, Martin Pál
CORR
2010
Springer
163views Education» more  CORR 2010»
13 years 6 months ago
Distributed Principal Component Analysis for Wireless Sensor Networks
Abstract: The Principal Component Analysis (PCA) is a data dimensionality reduction technique well-suited for processing data from sensor networks. It can be applied to tasks like ...
Yann-Aël Le Borgne, Sylvain Raybaud, Gianluca...