7 search results - page 1 / 2 » New Routes from Minimal Approximation Error to Principal Com... |
NPL
2008
13 years 4 months ago
2008
We introduce two new methods of deriving the classical PCA in the framework of minimizing the mean square error upon performing a lower-dimensional approximation of the data. These...
NPL
2006
13 years 4 months ago
2006
Abstract. In this paper we introduce a new error measure, integrated reconstruction error (IRE) and show that the minimization of IRE leads to principal eigenvectors (without rotat...
GLOBECOM
2009
IEEE
13 years 11 months ago
2009
IEEE
—In this paper we look at the problem of accurately reconstructing distributed signals through the collection of a small number of samples at a data gathering point. The techniqu...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
In a previous paper [1], we have presented a new linear classification algorithm, Principal Component Null Space Analysis (PCNSA) which is designed for problems like object recogn...
CVPR
2011
IEEE
13 years 1 months ago
2011
IEEE
We present a simple, accurate, and flexible method to calibrate intrinsic parameters of a camera together with (possibly significant) lens distortion. This new method can work u...