1617 search results - page 158 / 324 » Using Gaussian Processes to Optimize Expensive Functions |
DASFAA
2006
IEEE
14 years 4 months ago
2006
IEEE
An important database primitive for commonly used feature databases is the similarity join. It combines two datasets based on some similarity predicate into one set such that the n...
ACSD
2010
IEEE
13 years 8 months ago
2010
IEEE
Self-timed circuits present an attractive solution to the problem of process variation. However, implementing selftimed combinational logic can be complex and expensive. This pape...
ICCV
2009
IEEE
15 years 3 months ago
2009
IEEE
Many machine learning algorithms require the summation of Gaussian kernel
functions, an expensive operation if implemented straightforwardly. Several methods
have been proposed t...
CVPR
2010
IEEE
14 years 6 months ago
2010
IEEE
Graph-cuts optimization is prevalent in vision and graphics problems. It is thus of great practical importance to parallelize the graph-cuts optimization using today’s ubiquitou...
SIAMCO
2002
13 years 10 months ago
2002
There is a large literature on the rate of convergence problem for general unconstrained stochastic approximations. Typically, one centers the iterate n about the limit point then...