921 search results - page 121 / 185 » Kernel Principal Component Analysis |
PR
2008
13 years 10 months ago
2008
In this paper, we make a study on three Linear Discriminant Analysis (LDA) based methods: Regularized Discriminant Analysis (RDA), Discriminant Common Vectors (DCV) and Maximal Ma...
TSMC
1998
13 years 9 months ago
1998
Abstract—The application of neural networks (NN’s) to automatic analysis of chromosome images is investigated in this paper. All aspects of the analysis, namely segmentation, f...
PAMI
2007
13 years 9 months ago
2007
— The traditional image representations are not suited to conventional classification methods, such as the linear discriminant analysis (LDA), because of the under sample problem...
NIPS
2004
13 years 11 months ago
2004
Linear Discriminant Analysis (LDA) is a well-known scheme for feature extraction and dimension reduction. It has been used widely in many applications involving high-dimensional d...
WWW
2008
ACM
14 years 10 months ago
2008
ACM
Although most of existing research usually detects events by analyzing the content or structural information of Web documents, a recent direction is to study the usage data. In th...