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» Efficient Discovery of Confounders in Large Data Sets
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ESANN
2006
13 years 10 months ago
Margin based Active Learning for LVQ Networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...
CCGRID
2005
IEEE
14 years 2 months ago
Task scheduling strategies for workflow-based applications in grids
Grid applications require allocating a large number of heterogeneous tasks to distributed resources. A good allocation is critical for efficient execution. However, many existing ...
James Blythe, S. Jain, Ewa Deelman, Yolanda Gil, K...
CDC
2010
IEEE
150views Control Systems» more  CDC 2010»
13 years 3 months ago
Nonlinear hybrid system identification with kernel models
Abstract-- This paper focuses on the identification of nonlinear hybrid systems involving unknown nonlinear dynamics. The proposed method extends the framework of [1] by introducin...
Fabien Lauer, Gérard Bloch, René Vid...
PR
2010
135views more  PR 2010»
13 years 3 months ago
Revisiting priority queues for image analysis
Many algorithms in image analysis require a priority queue, a data structure that holds pointers to pixels in the image, and which allows efficiently finding the pixel in the queu...
Cris L. Luengo Hendriks
CVPR
2007
IEEE
14 years 11 months ago
The Hierarchical Isometric Self-Organizing Map for Manifold Representation
We present an algorithm, Hierarchical ISOmetric SelfOrganizing Map (H-ISOSOM), for a concise, organized manifold representation of complex, non-linear, large scale, high-dimension...
Haiying Guan, Matthew Turk