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ECML
2007
Springer
14 years 3 months ago
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
Mark Schmidt, Glenn Fung, Rómer Rosales
ECML
2006
Springer
13 years 11 months ago
Efficient Large Scale Linear Programming Support Vector Machines
This paper presents a decomposition method for efficiently constructing 1-norm Support Vector Machines (SVMs). The decomposition algorithm introduced in this paper possesses many d...
Suvrit Sra
ICML
2005
IEEE
14 years 10 months ago
Analysis and extension of spectral methods for nonlinear dimensionality reduction
Many unsupervised algorithms for nonlinear dimensionality reduction, such as locally linear embedding (LLE) and Laplacian eigenmaps, are derived from the spectral decompositions o...
Fei Sha, Lawrence K. Saul
ECTEL
2006
Springer
13 years 11 months ago
A Method for Capitalizing upon and Synthesizing Analyses of Human Interactions
It is often the case that analyses of human interactive activity are lost once an article is written about the results obtained. Although it is clear that corpora are gathered in o...
Annie Corbel, Jean-Jacques Girardot, Kristine Lund
ICIP
2008
IEEE
14 years 10 months ago
Supervised methods for perfect segmentation in medical images
We pose the problem of perfect segmentation for regions with ambiguous boundaries. We design machine learning classifiers to identify boundaries and build these into an interactiv...
Tony Shepherd, Daniel C. Alexander