Please use this identifier to cite or link to this item: https://doi.org/10.1109/TPAMI.2011.28
Title: Compactly supported basis functions as support vector kernels for classification
Authors: Wittek, P.
Tan, C.L. 
Keywords: feature correlation
feature engineering
semantic kernels.
Wavelet kernels
Issue Date: 2011
Source: Wittek, P., Tan, C.L. (2011). Compactly supported basis functions as support vector kernels for classification. IEEE Transactions on Pattern Analysis and Machine Intelligence 33 (10) : 2039-2050. ScholarBank@NUS Repository. https://doi.org/10.1109/TPAMI.2011.28
Abstract: Wavelet kernels have been introduced for both support vector regression and classification. Most of these wavelet kernels do not use the inner product of the embedding space, but use wavelets in a similar fashion to radial basis function kernels. Wavelet analysis is typically carried out on data with a temporal or spatial relation between consecutive data points. We argue that it is possible to order the features of a general data set so that consecutive features are statistically related to each other, thus enabling us to interpret the vector representation of an object as a series of equally or randomly spaced observations of a hypothetical continuous signal. By approximating the signal with compactly supported basis functions and employing the inner product of the embedding L-2 space, we gain a new family of wavelet kernels. Empirical results show a clear advantage in favor of these kernels. © 2011 IEEE.
Source Title: IEEE Transactions on Pattern Analysis and Machine Intelligence
URI: http://scholarbank.nus.edu.sg/handle/10635/39143
ISSN: 01628828
DOI: 10.1109/TPAMI.2011.28
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

11
checked on Dec 11, 2017

WEB OF SCIENCETM
Citations

10
checked on Dec 11, 2017

Page view(s)

52
checked on Dec 9, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.