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» Distributed Data Clustering Can Be Efficient and Exact
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ICPR
2010
IEEE
15 years 4 months ago
Performance Evaluation of Automatic Feature Discovery Focused within Error Clusters
We report performance evaluation of our automatic feature discovery method on the publicly available Gisette dataset: a set of 29 features discovered by our method ranks 129 among...
Sui-Yu Wang, Henry S. Baird
CORR
2010
Springer
63views Education» more  CORR 2010»
15 years 6 months ago
Simplified Distributed Programming with Micro Objects
Developing large-scale distributed applications can be a daunting task. One of the problems that application developers are confronted with is the distribution of data, processes, ...
Jan-Mark S. Wams, Maarten van Steen
ICDE
2008
IEEE
563views Database» more  ICDE 2008»
17 years 6 months ago
Probabilistic Verifiers: Evaluating Constrained Nearest-Neighbor Queries over Uncertain Data
In applications like location-based services, sensor monitoring and biological databases, the values of the database items are inherently uncertain in nature. An important query fo...
Reynold Cheng, Jinchuan Chen, Mohamed F. Mokbel, C...
PAMI
2008
119views more  PAMI 2008»
15 years 6 months ago
Triplet Markov Fields for the Classification of Complex Structure Data
We address the issue of classifying complex data. We focus on three main sources of complexity, namely, the high dimensionality of the observed data, the dependencies between these...
Juliette Blanchet, Florence Forbes
JSA
2006
88views more  JSA 2006»
15 years 6 months ago
Scheduling tasks sharing files on heterogeneous master-slave platforms
This paper is devoted to scheduling a large collection of independent tasks onto heterogeneous clusters. The tasks depend upon (input) files which initially reside on a master pro...
Arnaud Giersch, Yves Robert, Frédéri...