68 search results - page 6 / 14 » Feature shaping for linear SVM classifiers |
KDD
2000
ACM
15 years 2 months ago
2000
ACM
The problem of extracting a minimal number of data points from a large dataset, in order to generate a support vector machine (SVM) classifier, is formulated as a concave minimiza...
ICPR
2010
IEEE
14 years 10 months ago
2010
IEEE
We propose a method for human activity recognition in videos, based on shape analysis. We define local shape descriptors for interest points on the detected contour of the human a...
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ICDAR
2009
IEEE
14 years 8 months ago
2009
IEEE
We present a method to detect characters on signboards in natural scene images. For many applications, both classifier with small computational cost and the efficient feature set,...
INFORMS
2010
14 years 9 months ago
2010
The widely used Support Vector Machine (SVM) method has shown to yield very good results in Supervised Classification problems. Other methods such as Classification Trees have bec...
WSCG
2004
14 years 12 months ago
2004
Motor imagery electroencephalography (EEG), which embodies cortical potentials during mental simulation of left or right finger lifting tasks, can be used as neural input signals ...