485 search results - page 26 / 97 » A Discriminant Analysis for Undersampled Data |
ICDAR
2005
IEEE
14 years 1 months ago
2005
IEEE
A discriminant-based framework for automatic recognition of online handwriting data is presented in this paper. We identify the substrokes that are more useful in discriminating b...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
Constructing a good graph to represent data structures is critical for many important machine learning tasks such as clustering and classification. This paper proposes a novel no...
CVPR
2000
IEEE
14 years 9 months ago
2000
IEEE
A novel algorithm for motion segmentation is proposed. The algorithm uses the fact that shape of an object with homogeneous motion is represented as 4 dimensional linear space. Th...
ICDM
2003
IEEE
14 years 26 days ago
2003
IEEE
We study the use of kernel subspace methods for learning low-dimensional representations for classification. We propose a kernel pooled local discriminant subspace method and com...
INCDM
2010
Springer
13 years 6 months ago
2010
Springer
The importance of learning distance functions is gradually being acknowledged by the machine learning community, and different techniques are suggested that can successfully learn ...