277 search results - page 1 / 56 » Fast Linear Discriminant Analysis Using Binary Bases |
ICPR
2006
IEEE
13 years 11 months ago
2006
IEEE
Linear Discriminant Analysis (LDA) is a widely used technique for pattern classification. It seeks the linear projection of the data to a low dimensional subspace where the data ...
KAIS
2006
13 years 5 months ago
2006
Abstract. Many supervised machine learning tasks can be cast as multi-class classification problems. Support vector machines (SVMs) excel at binary classification problems, but the...
PRL
2010
12 years 11 months ago
2010
For fast classification under real-time constraints, as required in many imagebased pattern recognition applications, linear discriminant functions are a good choice. Linear discr...
CVPR
2007
IEEE
14 years 7 months ago
2007
IEEE
In this paper, we investigate linear discriminant analysis (LDA) methods for multiclass classification problems in hyperspectral imaging. We note that LDA does not consider pairwi...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
Recently, i-vector extraction and Probabilistic Linear Discriminant Analysis (PLDA) have proven to provide state-of-the-art speaker verification performance. In this paper, the s...