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» Efficient Optimization of Iterative Queries
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ICML
2006
IEEE
14 years 8 months ago
Bayesian regression with input noise for high dimensional data
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
SIGMOD
2008
ACM
140views Database» more  SIGMOD 2008»
14 years 7 months ago
Relational joins on graphics processors
We present a novel design and implementation of relational join algorithms for new-generation graphics processing units (GPUs). The most recent GPU features include support for wr...
Bingsheng He, Ke Yang, Rui Fang, Mian Lu, Naga K. ...
IJHCR
2010
155views more  IJHCR 2010»
13 years 4 months ago
A Collaborative Replication Approach for Mobile-P2P Networks
This paper proposes CADRE (Collaborative Allocation and Deallocation of Replicas with Efficiency), which is a dynamic replication scheme for improving the typically low data avail...
Anirban Mondal, Sanjay Kumar Madria, Masaru Kitsur...
VLDB
1997
ACM
97views Database» more  VLDB 1997»
13 years 11 months ago
The Complexity of Transformation-Based Join Enumeration
Query optimizers that explore a search space exhaustively using transformation rules usually apply all possible rules on each alternative, and stop when no new information is prod...
Arjan Pellenkoft, César A. Galindo-Legaria,...
ECCV
2006
Springer
14 years 9 months ago
Unsupervised Texture Segmentation with Nonparametric Neighborhood Statistics
Abstract. This paper presents a novel approach to unsupervised texture segmentation that relies on a very general nonparametric statistical model of image neighborhoods. The method...
Suyash P. Awate, Tolga Tasdizen, Ross T. Whitaker