1083 search results - page 16 / 217 » Robust principal component analysis |
CORR
2007
Springer
13 years 7 months ago
2007
Springer
Given a sample covariance matrix, we examine the problem of maximizing the variance explained by a linear combination of the input variables while constraining the number of nonze...
ISQED
2000
IEEE
13 years 12 months ago
2000
IEEE
A new algorithm to determine the number and value of realistic worst-case models for the performance of module library components is presented in this paper. The proposed algorith...
ICPR
2006
IEEE
14 years 8 months ago
2006
IEEE
In this paper, a multilinear formulation of the popular Principal Component Analysis (PCA) is proposed, named as multilinear PCA (MPCA), where the input can be not only vectors, b...
ICPR
2004
IEEE
14 years 8 months ago
2004
IEEE
In this paper, Principal Component Analysis (PCA) is applied to the problem of Online Handwritten Character Recognition in the Tamil script. The input is a temporally ordered sequ...
ICRA
2008
IEEE
14 years 2 months ago
2008
IEEE
— We present a fast feature selection algorithm suitable for object detection applications where the image being tested must be scanned repeatedly to detected the object of inter...