756 search results - page 104 / 152 » Support Vector Machines for Camera Calibration Problem |
JMLR
2006
13 years 9 months ago
2006
Support vector machines are trained by solving constrained quadratic optimization problems. This is usually done with an iterative decomposition algorithm operating on a small wor...
MP
2006
13 years 9 months ago
2006
There are many applications related to singly linearly constrained quadratic programs subjected to upper and lower bounds. In this paper, a new algorithm based on secant approximat...
PAMI
2010
13 years 7 months ago
2010
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
PKDD
2010
Springer
13 years 7 months ago
2010
Springer
Abstract. We consider the problem of training discriminative structured output predictors, such as conditional random fields (CRFs) and structured support vector machines (SSVMs)....
MICCAI
2006
Springer
14 years 10 months ago
2006
Springer
This paper considers the problem of automatic classification of textured tissues in 3D MRI. More specifically, it aims at validating the use of features extracted from the phase of...