76 search results - page 11 / 16 » Least squares linear discriminant analysis |
ICCV
2001
IEEE
14 years 9 months ago
2001
IEEE
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
SGAI
2005
Springer
14 years 28 days ago
2005
Springer
This paper presents the results of an investigation into the use of machine learning methods for the identification of narcotics from Raman spectra. The classification of spectr...
JMLR
2006
13 years 7 months ago
2006
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
ICDM
2005
IEEE
14 years 1 months ago
2005
IEEE
Binary classification is a core data mining task. For large datasets or real-time applications, desirable classifiers are accurate, fast, and need no parameter tuning. We presen...
ISPD
2004
ACM
14 years 27 days ago
2004
ACM
VLSI placement tools usually work in two steps: First, the cells that have to be placed are roughly spread out over the chip area ignoring disjointness (global placement). Then, i...