394 search results - page 17 / 79 » On Feature Extraction via Kernels |
MLDM
2007
Springer
14 years 4 months ago
2007
Springer
Support vector machine (SVM) has received much attention in feature selection recently because of its ability to incorporate kernels to discover nonlinear dependencies between feat...
IGARSS
2009
13 years 7 months ago
2009
Kernel Principal Component Analysis (KPCA) is investigated for feature extraction from hyperspectral remotesensing data. Features extracted using KPCA are used to construct the Ex...
KDD
2008
ACM
14 years 10 months ago
2008
ACM
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
AIME
2011
Springer
12 years 10 months ago
2011
Springer
Heart rate variability (HRV) analysis can be successfully applied to automatic classification of cardiac rhythm abnormalities. This paper presents a novel Java-based computer frame...
ICASSP
2011
IEEE
13 years 1 months ago
2011
IEEE
In current speech recognition systems mainly Short-Time Fourier Transform based features like MFCC are applied. Dropping the short-time stationarity assumption of the voiced speec...