241 search results - page 21 / 49 » Nearest Neighbor Discriminant Analysis |
SDM
2003
SIAM
13 years 9 months ago
2003
SIAM
The problem of finding clusters in data is challenging when clusters are of widely differing sizes, densities and shapes, and when the data contains large amounts of noise and out...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Linear discriminant analysis (LDA) is a widely used feature extraction method for classification. We introduce distributed implementations of different versions of LDA, suitable ...
SINOBIOMETRICS
2004
Springer
14 years 27 days ago
2004
Springer
This paper presents a novel face recognition method based on cascade Linear Discriminant Analysis (LDA) of the component-based face representation. In the proposed method, a face i...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
Many existing spectral clustering algorithms share a conventional graph partitioning criterion: normalized cuts (NC). However, one problem with NC is that it poorly captures the g...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Building models of the structure in musical signals raises the question of how to evaluate and compare different modeling approaches. One possibility is to use the model to impute...