921 search results - page 132 / 185 » Kernel Principal Component Analysis |
IBPRIA
2007
Springer
14 years 4 months ago
2007
Springer
In this paper we present a novel method for reducing false positives in breast mass detection. Our approach is based on using the Two-Dimensional Principal Component Analysis (2DPC...
SCIA
2007
Springer
14 years 4 months ago
2007
Springer
Abstract. Since texture is scale dependent, multi-scale techniques are quite useful for texture classification. Scale-space theory introduces multi-scale differential operators. In...
ICMCS
2006
IEEE
14 years 4 months ago
2006
IEEE
This paper presents an emotion recognition system from clean and noisy speech. Geodesic distance was adopted to preserve the intrinsic geometry of emotional speech. Based on the g...
AUSAI
2005
Springer
14 years 3 months ago
2005
Springer
Abstract. Principal Component Analysis (PCA) plus Linear Discriminant Analysis (LDA) (PCA+LDA) and LDA/QR are both two-stage methods that deal with the small sample size (SSS) prob...
ICIAR
2005
Springer
14 years 3 months ago
2005
Springer
Image communication is a significant research area which involves improvement in image coding and communication techniques. In this paper, Principal Component Analysis (PCA) is use...