SLSFS

Keyphrases

Publications

volume 3940, 2006

Subspace, Latent Structure and Feature Selection, Statistical and Optimization, Perspectives Workshop, SLSFS 2005, Bohinj, Slovenia, February 23-25, 2005, Revised Selected Papers SLSFS 3940 (2006)

2005

Wray L. Buntine, Aleks Jakulin
Discrete Component Analysis. SLSFS (2005)
Roman Rosipal, Nicole Krämer
Overview and Recent Advances in Partial Least Squares. SLSFS (2005)
Andreas Maurer
Generalization Bounds for Subspace Selection and Hyperbolic PCA. SLSFS (2005)
Juha Reunanen
Less Biased Measurement of Feature Selection Benefits. SLSFS (2005)
Dunja Mladenic
Feature Selection for Dimensionality Reduction. SLSFS (2005)
Jeremy Rogers, Steve R. Gunn
Identifying Feature Relevance Using a Random Forest. SLSFS (2005)
Florent Monay, Pedro Quelhas, Daniel Gatica-Perez, Jean-Marc Odobez
Constructing Visual Models with a Latent Space Approach. SLSFS (2005)
Avrim Blum
Random Projection, Margins, Kernels, and Feature-Selection. SLSFS (2005)
Amir Navot, Ran Gilad-Bachrach, Yiftah Navot, Naftali Tishby
Is Feature Selection Still Necessary? SLSFS (2005)
Felix V. Agakov, David Barber
Auxiliary Variational Information Maximization for Dimensionality Reduction. SLSFS (2005)
D. Mike Titterington
Some Aspects of Latent Structure Analysis. SLSFS (2005)
Charles Bouveyron, Stéphane Girard, Cordelia Schmid
Class-Specific Subspace Discriminant Analysis for High-Dimensional Data. SLSFS (2005)
Christian Savu-Krohn, Peter Auer
A Simple Feature Extraction for High Dimensional Image Representations. SLSFS (2005)
Amit Gruber, Yair Weiss
Incorporating Constraints and Prior Knowledge into Factorization Algorithms - An Application to 3D Recovery. SLSFS (2005)