990 search results - page 87 / 198 » Learning with non-positive kernels |
ECML
2006
Springer
15 years 1 months ago
2006
Springer
Semi-supervised clustering uses the limited background knowledge to aid unsupervised clustering algorithms. Recently, a kernel method for semi-supervised clustering has been introd...
ICML
2005
IEEE
15 years 10 months ago
2005
IEEE
We present new, general-purpose kernels for protein structure analysis, and describe how to apply them to structural motif discovery and function classification. Experiments show ...
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
We show that a classifier based on Gaussian mixture models (GMM) can be trained discriminatively to improve accuracy. We describe a training procedure based on the extended Baum-W...
CVPR
2012
IEEE
13 years 10 days ago
2012
IEEE
In this paper, we deal with the estimation of body and head poses (i.e orientations) in surveillance videos, and we make three main contributions. First, we address this issue as ...
158
click to vote
ICML
2004
IEEE
15 years 10 months ago
2004
IEEE
Principal component analysis (PCA) is a widely used statistical technique for unsupervised dimension reduction. K-means clustering is a commonly used data clustering for unsupervi...