107 search results - page 3 / 22 » Learning to rank using gradient descent |
SCIA
2009
Springer
14 years 23 days ago
2009
Springer
Abstract. Level set methods are a popular way to solve the image segmentation problem in computer image analysis. A contour is implicitly represented by the zero level of a signed ...
JMLR
2012
11 years 8 months ago
2012
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
ACSW
2004
13 years 7 months ago
2004
This paper describes an approach to the use of gradient descent search in genetic programming (GP) for object classification problems. In this approach, pixel statistics are used ...
ACL
2009
13 years 4 months ago
2009
Stochastic gradient descent (SGD) uses approximate gradients estimated from subsets of the training data and updates the parameters in an online fashion. This learning framework i...
ICIP
2010
IEEE
13 years 4 months ago
2010
IEEE
Optical lithography is a critical step in the semiconductor manufacturing process, and one key problem is the design of the photomask for a particular circuit pattern, given the o...