Sciweavers

4584 search results - page 730 / 917
» Sequential parameter optimization
Sort
View
CVPR
2010
IEEE
16 years 3 months ago
Unsupervised Learning of Invariant Features Using Video
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...
David Stavens, Sebastian Thrun
HPCA
2009
IEEE
16 years 1 months ago
Soft error vulnerability aware process variation mitigation
As transistor process technology approaches the nanometer scale, process variation significantly affects the design and optimization of high performance microprocessors. Prior stu...
Xin Fu, Tao Li, José A. B. Fortes
IROS
2009
IEEE
185views Robotics» more  IROS 2009»
16 years 1 months ago
Scalable and convergent multi-robot passive and active sensing
— A major barrier preventing the wide employment of mobile networks of robots in tasks such as exploration, mapping, surveillance, and environmental monitoring is the lack of efï...
Elias B. Kosmatopoulos, Lefteris Doitsidis, Konsta...
SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
16 years 1 months ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson
FOCS
2008
IEEE
16 years 1 months ago
Kakeya Sets, New Mergers and Old Extractors
A merger is a probabilistic procedure which extracts the randomness out of any (arbitrarily correlated) set of random variables, as long as one of them is uniform. Our main result...
Zeev Dvir, Avi Wigderson