1253 search results - page 122 / 251 » Feature selection for linear support vector machines |
TIFS
2010
13 years 6 months ago
2010
This paper presents a novel method for detection of steganographic methods that embed in the spatial domain by adding a low-amplitude independent stego signal, an example of which...
BMCBI
2008
13 years 8 months ago
2008
In this paper we present preliminary results stemming from a novel application of Markov Models and Support Vector Machines to splice site classification of Intron-Exon and Exon-I...
COLT
2005
Springer
14 years 1 months ago
2005
Springer
We discuss a simple sparse linear problem that is hard to learn with any algorithm that uses a linear combination of the training instances as its weight vector. The hardness holds...
ICIAR
2004
Springer
14 years 1 months ago
2004
Springer
We propose a new fast facial-feature extraction technique for embedded face-recognition applications. A deformable feature model is adopted, of which the parameters are optimized t...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
In many applications it is desirable to learn from several kernels. "Multiple kernel learning" (MKL) allows the practitioner to optimize over linear combinations of kern...