1235 search results - page 220 / 247 » Learning with Idealized Kernels |
FOCS
2010
IEEE
13 years 7 months ago
2010
IEEE
Boosting is a general method for improving the accuracy of learning algorithms. We use boosting to construct improved privacy-preserving synopses of an input database. These are da...
SDM
2012
SIAM
12 years 8 days ago
2012
SIAM
: Feature Selection “Tomography” - Illustrating that Optimal Feature Filtering is Hopelessly Ungeneralizable George Forman HP Laboratories HPL-2010-19R1 Feature selection; ...
CMC
1998
Springer
14 years 2 months ago
1998
Springer
Abstract. Intelligent MultiMedia (IntelliMedia) focuses on the computer processing and understanding of signal and symbol input from at least speech, text and visual images in term...
ICIP
2007
IEEE
14 years 11 months ago
2007
IEEE
Abstract - The proposed algorithm in this work provides superresolution for color images by using a learning based technique that utilizes both generative and discriminant approach...
ICML
2004
IEEE
14 years 10 months ago
2004
IEEE
In many real-world classification problems the input contains a large number of potentially irrelevant features. This paper proposes a new Bayesian framework for determining the r...