1491 search results - page 26 / 299 » Training Linear Discriminant Analysis in Linear Time |
74
Voted
ICML
2003
IEEE
15 years 10 months ago
2003
IEEE
A new method for classification is proposed. This is based on kernel orthonormalized partial least squares (PLS) dimensionality reduction of the original data space followed by a ...
CIVR
2005
Springer
15 years 3 months ago
2005
Springer
Principle Component Analysis (PCA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
100
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ICCV
2011
IEEE
13 years 9 months ago
2011
IEEE
Linear subspace learning (LSL) is a popular approach to image recognition and it aims to reveal the essential features of high dimensional data, e.g., facial images, in a lower di...
ISQED
2005
IEEE
15 years 3 months ago
2005
IEEE
This paper presents a two-step, RC-interconnect insensitive linear time-varying (LTV) driver model for gate-level timing calculation. We show how to characterize a driver with the...
84
Voted
PR
2002
14 years 9 months ago
2002
This paper introduces a novel nonlinear extension of Fisher's classical linear discriminant analysis (FDA) known as high-order Fisher's discriminant analysis (HOFDA). Th...