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» Properties of Support Vector Machines
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IWDW
2005
Springer
15 years 12 months ago
Towards Multi-class Blind Steganalyzer for JPEG Images
In this paper, we use the previously proposed calibrated DCT features [9] to construct a Support Vector Machine classifier for JPEG images capable of recognizing which steganograp...
Tomás Pevný, Jessica J. Fridrich
SC
1995
ACM
15 years 10 months ago
Index Array Flattening Through Program Transformation
This paper presents techniques for compiling loops with complex, indirect array accesses into loops whose array references have at most one level of indirection. The transformatio...
Raja Das, Paul Havlak, Joel H. Saltz, Ken Kennedy
EMNLP
2008
15 years 8 months ago
Discriminative Learning of Selectional Preference from Unlabeled Text
We present a discriminative method for learning selectional preferences from unlabeled text. Positive examples are taken from observed predicate-argument pairs, while negatives ar...
Shane Bergsma, Dekang Lin, Randy Goebel
CIARP
2010
Springer
15 years 3 months ago
A New Algorithm for Training SVMs Using Approximate Minimal Enclosing Balls
Abstract. It has been shown that many kernel methods can be equivalently formulated as minimal-enclosing-ball (MEB) problems in certain feature space. Exploiting this reduction eff...
Emanuele Frandi, Maria Grazia Gasparo, Stefano Lod...
JMLR
2011
110views more  JMLR 2011»
15 years 1 months ago
Training SVMs Without Offset
We develop, analyze, and test a training algorithm for support vector machine classifiers without offset. Key features of this algorithm are a new, statistically motivated stoppi...
Ingo Steinwart, Don R. Hush, Clint Scovel