66 search results - page 2 / 14 » Stochastic gradient descent on GPUs |
ACL
2009
13 years 3 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...
ICPR
2010
IEEE
13 years 7 months ago
2010
IEEE
Training datasets for object detection problems are typically very large and Support Vector Machine (SVM) implementations are computationally complex. As opposed to these complex ...
ICIP
2010
IEEE
13 years 3 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...
CORR
2011
Springer
12 years 9 months ago
2011
Springer
DAGM
2009
Springer
13 years 6 months ago
2009
Springer
Abstract. Graph cuts have become very popular in many areas of computer vision including segmentation, energy minimization, and 3D reconstruction. Their ability to find optimal res...