5128 search results - page 39 / 1026 » Discrete Component Analysis |
81
Voted
NIPS
2003
15 years 1 months ago
2003
Principal components analysis (PCA) is one of the most widely used techniques in machine learning and data mining. Minor components analysis (MCA) is less well known, but can also...
ICANN
1997
Springer
15 years 4 months ago
1997
Springer
A new method for performing a nonlinear form of Principal Component Analysis is proposed. By the use of integral operator kernel functions, one can e ciently compute principal comp...
126
Voted
IGARSS
2009
14 years 10 months ago
2009
In this study, the authors investigate the use of hyperspectral imaging for food crop monitoring and contamination detection and characterization. The authors investigate the use ...
ICASSP
2008
IEEE
15 years 7 months ago
2008
IEEE
Component forensics is an emerging methodology for forensic analysis that aims at estimating the algorithms and parameters in each component of a digital device. This paper propos...
141
Voted
EUROMICRO
2002
IEEE
15 years 5 months ago
2002
IEEE
In this paper we propose a method for predicting the consequences of adding new components to an existing product line in the real-time systems domain. We refer to such a predicti...