979 search results - page 53 / 196 » Support Vector Machine Classification with Indefinite Kernel... |
113
Voted
NIPS
2003
15 years 5 months ago
2003
A recent area of significant progress in speaker recognition is the use of high level features—idiolect, phonetic relations, prosody, discourse structure, etc. A speaker not on...
133
Voted
ICIP
2006
IEEE
16 years 5 months ago
2006
IEEE
This paper presents a statistical learning-based solution to the camera calibration problem in which the Support Vector Machines (SVM) are used for the estimation of the projectio...
138
Voted
BMCBI
2010
15 years 3 months ago
2010
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
125
Voted
PR
2007
15 years 3 months ago
2007
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
121
Voted
ECAI
2004
Springer
15 years 9 months ago
2004
Springer
The standard SVM formulation for binary classification is based on the Hinge loss function, where errors are considered not correlated. Due to this, local information in the featu...