780 search results - page 85 / 156 » Learning Low-Density Separators |
TKDE
2008
13 years 7 months ago
2008
Linear Discriminant Analysis (LDA) has been a popular method for extracting features that preserves class separability. The projection functions of LDA are commonly obtained by max...
JMLR
2010
13 years 2 months ago
2010
A computationally efficient approach to local learning with kernel methods is presented. The Fast Local Kernel Support Vector Machine (FaLK-SVM) trains a set of local SVMs on redu...
JMLR
2010
13 years 2 months ago
2010
Directed acyclic graph (DAG) models are popular tools for describing causal relationships and for guiding attempts to learn them from data. In particular, they appear to supply a ...
ICIP
2001
IEEE
14 years 9 months ago
2001
IEEE
In this paper, we present a framework for clustering and classifying cheque images according to their payee-line content. The features used in the clustering and classificationpro...
ALT
2008
Springer
14 years 4 months ago
2008
Springer
Abstract. The nearest neighbor and the perceptron algorithms are intuitively motivated by the aims to exploit the “cluster” and “linear separation” structure of the data to...