Conferences in DBLP
(slsfs) Wray L. Buntine , Aleks Jakulin Discrete Component Analysis. [Citation Graph (0, 0)][DBLP ] Conf ] Roman Rosipal , Nicole Krämer Overview and Recent Advances in Partial Least Squares. [Citation Graph (0, 0)][DBLP ] Conf ] Avrim Blum Random Projection, Margins, Kernels, and Feature-Selection. [Citation Graph (0, 0)][DBLP ] Conf ] D. Mike Titterington Some Aspects of Latent Structure Analysis. [Citation Graph (0, 0)][DBLP ] Conf ] Dunja Mladenic Feature Selection for Dimensionality Reduction. [Citation Graph (0, 0)][DBLP ] Conf ] Felix V. Agakov , David Barber Auxiliary Variational Information Maximization for Dimensionality Reduction. [Citation Graph (0, 0)][DBLP ] Conf ] Florent Monay , Pedro Quelhas , Daniel Gatica-Perez , Jean-Marc Odobez Constructing Visual Models with a Latent Space Approach. [Citation Graph (0, 0)][DBLP ] Conf ] Amir Navot , Ran Gilad-Bachrach , Yiftah Navot , Naftali Tishby Is Feature Selection Still Necessary? [Citation Graph (0, 0)][DBLP ] Conf ] Charles Bouveyron , Stéphane Girard , Cordelia Schmid Class-Specific Subspace Discriminant Analysis for High-Dimensional Data. [Citation Graph (0, 0)][DBLP ] Conf ] Amit Gruber , Yair Weiss Incorporating Constraints and Prior Knowledge into Factorization Algorithms - An Application to 3D Recovery. [Citation Graph (0, 0)][DBLP ] Conf ] Christian Savu-Krohn , Peter Auer A Simple Feature Extraction for High Dimensional Image Representations. [Citation Graph (0, 0)][DBLP ] Conf ] Jeremy Rogers , Steve R. Gunn Identifying Feature Relevance Using a Random Forest. [Citation Graph (0, 0)][DBLP ] Conf ] Andreas Maurer Generalization Bounds for Subspace Selection and Hyperbolic PCA. [Citation Graph (0, 0)][DBLP ] Conf ] Juha Reunanen Less Biased Measurement of Feature Selection Benefits. [Citation Graph (0, 0)][DBLP ] Conf ] 