1824 search results - page 70 / 365 » Pose Classification Using Support Vector Machines |
111
click to vote
ICANN
2005
Springer
15 years 3 months ago
2005
Springer
Abstract. Radial basis function (RBF) kernels are widely used for support vector machines. But for model selection, we need to optimize the kernel parameter and the margin paramete...
IMECS
2007
14 years 11 months ago
2007
— Among all ECG components, QRS complex is the most significant feature. Entropy based method for the detection of QRS complexes (cardiac beat) in the single lead Electrocardiogr...
107
click to vote
COLT
1999
Springer
15 years 2 months ago
1999
Springer
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
VCIP
2003
14 years 11 months ago
2003
The paper addresses the problem of distinguishing between pornographic and non-pornographic photographs, for the design of semantic filters for the web. Both, decision forests of ...
TNN
2008
14 years 9 months ago
2008
Abstract--Tao et al. have recently proposed the posterior probability support vector machine (PPSVM) which uses soft labels derived from estimated posterior probabilities to be mor...