318 search results - page 12 / 64 » Learning subspace kernels for classification |
KDD
2006
ACM
14 years 8 months ago
2006
ACM
We study the problem of private classification using kernel methods. More specifically, we propose private protocols implementing the Kernel Adatron and Kernel Perceptron learning ...
ICPR
2010
IEEE
13 years 5 months ago
2010
IEEE
Classifying images using features extracted from densely sampled local patches has enjoyed significant success in many detection and recognition tasks. It is also well known that ...
ICIP
2003
IEEE
14 years 9 months ago
2003
IEEE
In this paper we address the problem of classifying images, by exploiting global features that describe color and illumination properties, and by using the statistical learning pa...
JMLR
2002
13 years 7 months ago
2002
We present some greedy learning algorithms for building sparse nonlinear regression and classification models from observational data using Mercer kernels. Our objective is to dev...
ICMCS
2005
IEEE
14 years 1 months ago
2005
IEEE
In this paper we present a novel framework for generic object class detection by integrating Kernel PCA with AdaBoost. The classifier obtained in this way is invariant to changes...