217 search results - page 38 / 44 » Discriminant Analysis with Tensor Representation |
72
Voted
ICNC
2005
Springer
15 years 3 months ago
2005
Springer
Principal Component Analysis (PCA) and Linear Discriminant Analysis (LDA) techniques are important and well-developed area of image recognition and to date many linear discriminati...
IWANN
2005
Springer
15 years 3 months ago
2005
Springer
Linear Discriminant Analysis (LDA) technique is an important and well-developed area of image recognition and to date many linear discrimination methods have been put forward. Desp...
CVPR
2007
IEEE
15 years 11 months ago
2007
IEEE
We present a hierarchical generative model for object recognition that is constructed by weakly-supervised learning. A key component is a novel, adaptive patch feature whose width...
ICIP
2004
IEEE
15 years 11 months ago
2004
IEEE
It is well-known that the applicability of Linear Discriminant Analysis (LDA) to high-dimensional pattern classification tasks such as face recognition (FR) often suffers from the...
ICIP
2000
IEEE
15 years 11 months ago
2000
IEEE
This paper introduces a simple criterion to select the most important level lines from the numerous set obtained with a topographic map. A topographic map gives a morphological an...