11 search results - page 1 / 3 » Visual Analysis of the Use of Mixture Covariance Matrices in... |
AVBPA
2003
Springer
13 years 10 months ago
2003
Springer
The quadratic discriminant (QD) classifier has proved to be simple and effective in many pattern recognition problems. However, it requires the computation of the inverse of the sa...
AVBPA
2001
Springer
13 years 9 months ago
2001
Springer
In several pattern recognition problems, particularly in image recognition ones, there are often a large number of features available, but the number of training samples for each p...
AUSAI
2005
Springer
13 years 10 months ago
2005
Springer
All the traditional PCA-based and LDA-based methods are based on the analysis of vectors. So, it is difficult to evaluate the covariance matrices in such a high-dimensional vector ...
IWANN
2005
Springer
13 years 10 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...
ICNC
2005
Springer
13 years 10 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...