756 search results - page 54 / 152 » Support Vector Machines for Camera Calibration Problem |
ICML
2000
IEEE
14 years 9 months ago
2000
IEEE
In manyoptimization and decision problems the objective function can be expressed as a linear combinationof competingcriteria, the weights of whichspecify the relative importanceo...
ICMCS
2009
IEEE
13 years 6 months ago
2009
IEEE
In this paper a novel method for view independent human movement representation and recognition, exploiting the rich information contained in multi-view videos, is proposed. The bi...
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
In a variety of applications, kernel machines such as Support Vector Machines (SVMs) have been used with great success often delivering stateof-the-art results. Using the kernel t...
ALT
2004
Springer
14 years 6 months ago
2004
Springer
The decomposition method is currently one of the major methods for solving the convex quadratic optimization problems being associated with support vector machines. For a special c...
KDD
2006
ACM
14 years 9 months ago
2006
ACM
Linear Support Vector Machines (SVMs) have become one of the most prominent machine learning techniques for highdimensional sparse data commonly encountered in applications like t...