SLSFS
2005
Springer
14 years 5 months ago
2005
Springer
SLSFS
2005
Springer
14 years 5 months ago
2005
Springer
SLSFS
2005
Springer
14 years 5 months ago
2005
Springer
We propose the use of latent space models applied to local invariant features for object classification. We investigate whether using latent space models enables to learn patterns...
SLSFS
2005
Springer
14 years 5 months ago
2005
Springer
We present a method which uses example pairs of equal or unequal class labels to select a subspace with near optimal metric properties in a kernel-induced Hilbert space. A represen...
SLSFS
2005
Springer
14 years 5 months ago
2005
Springer
Abstract. Matrix factorization is a fundamental building block in many computer vision and machine learning algorithms. In this work we focus on the problem of ”structure from mo...
SLSFS
2005
Springer
14 years 5 months ago
2005
Springer
Abstract. This article presents a unified theory for analysis of components in discrete data, and compares the methods with techniques such as independent component analysis, non-...
SLSFS
2005
Springer
14 years 5 months ago
2005
Springer
Random projection is a simple technique that has had a number of applications in algorithm design. In the context of machine learning, it can provide insight into questions such as...
SLSFS
2005
Springer
14 years 5 months ago
2005
Springer
Abstract. Mutual Information (MI) is a long studied measure of information content, and many attempts to apply it to feature extraction and stochastic coding have been made. Howeve...