26 search results - page 3 / 6 » Random Feature Maps for Dot Product Kernels |
TIP
2011
13 years 3 months ago
2011
—This paper introduces kernel versions of maximum autocorrelation factor (MAF) analysis and minimum noise fraction (MNF) analysis. The kernel versions are based upon a dual formu...
ICPR
2008
IEEE
14 years 3 months ago
2008
IEEE
This paper presents how to extract non-linear features by linear PCA. KPCA is effective but the computational cost is the drawback. To realize both non-linearity and low computati...
ICASSP
2008
IEEE
14 years 3 months ago
2008
IEEE
In this paper, we propose a method for robust kernel density estimation. We interpret a KDE with Gaussian kernel as the inner product between a mapped test point and the centroid ...
SPLC
2010
13 years 10 months ago
2010
Abstract. Large product lines have complex build systems, which obscure mapping of features to code. We extract this mapping out of the build systems of two operating systems kerne...
ALT
2004
Springer
14 years 5 months ago
2004
Springer
Kernel functions are typically viewed as providing an implicit mapping of points into a high-dimensional space, with the ability to gain much of the power of that space without inc...