148 search results - page 5 / 30 » DiscLDA: Discriminative Learning for Dimensionality Reductio... |
CVPR
2007
IEEE
14 years 10 months ago
2007
IEEE
Dimensionality reduction is an important issue when facing high-dimensional data. For supervised dimensionality reduction, Linear Discriminant Analysis (LDA) is one of the most po...
ADMA
2008
Springer
13 years 10 months ago
2008
Springer
We investigate the effects of dimensionality reduction using different techniques and different dimensions on six two-class data sets with numerical attributes as pre-processing fo...
ICPR
2010
IEEE
14 years 3 months ago
2010
IEEE
We consider the problem of classification in nonadaptive dimensionality reduction. Specifically, we bound the increase in classification error of Fisher’s Linear Discriminant...
CVPR
2005
IEEE
14 years 10 months ago
2005
IEEE
In this paper, we present a novel approach to solving the supervised dimensionality reduction problem by encoding an image object as a general tensor of 2nd or higher order. First...
ECCV
2006
Springer
14 years 10 months ago
2006
Springer
Abstract. We present a novel method for dimensionality reduction and recognition based on Linear Discriminant Analysis (LDA), which specifically deals with the Small Sample Size (S...