508 search results - page 7 / 102 » Near-Optimal Regularization Parameters for Applications in C... |
FTCGV
2011
12 years 11 months ago
2011
Powerful statistical models that can be learned efficiently from large amounts of data are currently revolutionizing computer vision. These models possess a rich internal structur...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
The application of semi-supervised learning algorithms to large scale vision problems suffers from the bad scaling behavior of most methods. Based on the Expectation Regularization...
CVPR
1996
IEEE
14 years 9 months ago
1996
IEEE
This paper describes a new method for estimating optical flow that strikes a balance between the flexibility of local dense computations and the robustness and accuracy of global ...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
In this work we investigate the relationship between Bregman distances and regularized Logistic Regression model. We present a detailed study of Bregman Distance minimization, a f...
ECCV
2002
Springer
14 years 9 months ago
2002
Springer
Abstract. This paper presents an optimization framework for estimating the motion and underlying physical parameters of a rigid body in free flight from video. The algorithm takes ...