2403 search results - page 34 / 481 » Optimal Randomized RANSAC |
ICML
2006
IEEE
16 years 20 days ago
2006
IEEE
We apply Stochastic Meta-Descent (SMD), a stochastic gradient optimization method with gain vector adaptation, to the training of Conditional Random Fields (CRFs). On several larg...
ICARIS
2003
Springer
15 years 5 months ago
2003
Springer
This paper presents a real-valued negative selection algorithm with good mathematical foundation that solves some of the drawbacks of our previous approach [11]. Specifically, it ...
NIPS
2007
15 years 1 months ago
2007
We combine three threads of research on approximate dynamic programming: sparse random sampling of states, value function and policy approximation using local models, and using lo...
SIAMJO
2008
14 years 11 months ago
2008
We consider random approximations to deterministic optimization problems. The objective function and the constraint set can be approximated simultaneously. Relying on concentratio...
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IPSN
2004
Springer
15 years 5 months ago
2004
Springer
In this paper, we study the optimal way of distributing sensors in a random field to minimize the estimation distortion. We show that this problem is equivalent to certain proble...