66 search results - page 4 / 14 » Stochastic gradient descent on GPUs |
JMLR
2012
12 years 2 days 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...
JMLR
2008
13 years 9 months ago
2008
A method is introduced to learn and represent similarity with linear operators in kernel induced Hilbert spaces. Transferring error bounds for vector valued large-margin classifie...
CDC
2010
IEEE
13 years 4 months ago
2010
IEEE
Abstract-- In robot deployment problems, the fundamental issue is to optimize a steady state performance measure that depends on the spatial configuration of a group of robots. For...
WWW
2010
ACM
14 years 4 months ago
2010
ACM
We present two modifications to the popular k-means clustering algorithm to address the extreme requirements for latency, scalability, and sparsity encountered in user-facing web...
ICIP
2000
IEEE
14 years 11 months ago
2000
IEEE
We present an estimation-theoretic approach to curve evolution for the Mumford-Shah problem. By viewing an active contour as the set of discontinuities in the Mumford-Shah problem...