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231223s2010 xx |||||o 00| ||eng c |
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|a 10.1109/TPAMI.2010.75
|2 doi
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|a pubmed24n0661.xml
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|a (DE-627)NLM198270208
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|a DE-627
|b ger
|c DE-627
|e rakwb
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| 041 |
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|a eng
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| 100 |
1 |
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|a Ashraf, Ahmed Bilal
|e verfasserin
|4 aut
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| 245 |
1 |
0 |
|a Reinterpreting the application of gabor filters as a manipulation of the margin in linear support vector machines
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| 264 |
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1 |
|c 2010
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| 336 |
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|a Text
|b txt
|2 rdacontent
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| 337 |
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|a ƒaComputermedien
|b c
|2 rdamedia
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| 338 |
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|a ƒa Online-Ressource
|b cr
|2 rdacarrier
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| 500 |
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|a Date Completed 12.08.2010
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|a Date Revised 21.05.2010
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|a published: Print
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|a Citation Status MEDLINE
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|a Linear filters are ubiquitously used as a preprocessing step for many classification tasks in computer vision. In particular, applying Gabor filters followed by a classification stage, such as a support vector machine (SVM), is now common practice in computer vision applications like face identity and expression recognition. A fundamental problem occurs, however, with respect to the high dimensionality of the concatenated Gabor filter responses in terms of memory requirements and computational efficiency during training and testing. In this paper, we demonstrate how the preprocessing step of applying a bank of linear filters can be reinterpreted as manipulating the type of margin being maximized within the linear SVM. This new interpretation leads to sizable memory and computational advantages with respect to existing approaches. The reinterpreted formulation turns out to be independent of the number of filters, thereby allowing the examination of the feature spaces derived from arbitrarily large number of linear filters, a hitherto untestable prospect. Further, this new interpretation of filter banks gives new insights, other than the often cited biological motivations, into why the preprocessing of images with filter banks, like Gabor filters, improves classification performance
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| 650 |
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4 |
|a Journal Article
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| 700 |
1 |
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|a Lucey, Simon
|e verfasserin
|4 aut
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| 700 |
1 |
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|a Chen, Tsuhan
|e verfasserin
|4 aut
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| 773 |
0 |
8 |
|i Enthalten in
|t IEEE transactions on pattern analysis and machine intelligence
|d 1979
|g 32(2010), 7 vom: 09. Juli, Seite 1335-41
|w (DE-627)NLM098212257
|x 1939-3539
|7 nnns
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| 773 |
1 |
8 |
|g volume:32
|g year:2010
|g number:7
|g day:09
|g month:07
|g pages:1335-41
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| 856 |
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|u http://dx.doi.org/10.1109/TPAMI.2010.75
|3 Volltext
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|d 32
|j 2010
|e 7
|b 09
|c 07
|h 1335-41
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