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» Efficient Discovery of Confounders in Large Data Sets
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BMCBI
2007
177views more  BMCBI 2007»
13 years 9 months ago
The BioPrompt-box: an ontology-based clustering tool for searching in biological databases
Background: High-throughput molecular biology provides new data at an incredible rate, so that the increase in the size of biological databanks is enormous and very rapid. This sc...
Claudio Corsi, Paolo Ferragina, Roberto Marangoni
ICIP
2005
IEEE
14 years 10 months ago
A spatial image hierarchy for compression in image-based-rendering
Image-based rendering (IBR) systems create photorealistic views of complex 3D environments by resampling large collections of images captured in the environment. The quality of th...
Daniel G. Aliaga, Ingrid Carlbom
CVPR
2008
IEEE
14 years 11 months ago
A Parallel Decomposition Solver for SVM: Distributed dual ascend using Fenchel Duality
We introduce a distributed algorithm for solving large scale Support Vector Machines (SVM) problems. The algorithm divides the training set into a number of processing nodes each ...
Tamir Hazan, Amit Man, Amnon Shashua
ICDE
1998
IEEE
187views Database» more  ICDE 1998»
14 years 10 months ago
Mining Optimized Association Rules with Categorical and Numeric Attributes
?Mining association rules on large data sets has received considerable attention in recent years. Association rules are useful for determining correlations between attributes of a ...
Rajeev Rastogi, Kyuseok Shim
ICML
2005
IEEE
14 years 9 months ago
Online feature selection for pixel classification
Online feature selection (OFS) provides an efficient way to sort through a large space of features, particularly in a scenario where the feature space is large and features take a...
Karen A. Glocer, Damian Eads, James Theiler