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JMLR
2008
133views more  JMLR 2008»
14 years 11 months ago
Algorithms for Sparse Linear Classifiers in the Massive Data Setting
Classifiers favoring sparse solutions, such as support vector machines, relevance vector machines, LASSO-regression based classifiers, etc., provide competitive methods for classi...
Suhrid Balakrishnan, David Madigan
JMLR
2006
89views more  JMLR 2006»
14 years 11 months ago
Maximum-Gain Working Set Selection for SVMs
Support vector machines are trained by solving constrained quadratic optimization problems. This is usually done with an iterative decomposition algorithm operating on a small wor...
Tobias Glasmachers, Christian Igel
JUCS
2011
174views more  JUCS 2011»
14 years 6 months ago
Color Image Restoration Using Neural Network Model
Abstract: Neural network learning approach for color image restoration has been discussed in this paper and one of the possible solutions for restoring images has been presented. H...
Satyadhyan Chickerur, Aswatha Kumar M.
ISMAR
2005
IEEE
15 years 5 months ago
Synchronizing 3D Movements for Quantitative Comparison and Simultaneous Visualization of Actions
In our poster presentation at ISMAR’04 [11], we proposed the idea of an AR training solution including capture and 3D replays of subtle movements. The crucial part missing for r...
Tobias Sielhorst, Tobias Blum, Nassir Navab
ECML
2006
Springer
15 years 3 months ago
Multiple-Instance Learning Via Random Walk
This paper presents a decoupled two stage solution to the multiple-instance learning (MIL) problem. With a constructed affinity matrix to reflect the instance relations, a modified...
Dong Wang, Jianmin Li, Bo Zhang