2476 search results - page 154 / 496 » Model Selection and Error Estimation |
139
click to vote
MP
2002
15 years 4 months ago
2002
UOBYQA is a new algorithm for general unconstrained optimization calculations, that takes account of the curvature of the objective function, F say, by forming quadratic models by ...
128
click to vote
CSB
2003
IEEE
15 years 9 months ago
2003
IEEE
The design of large scale DNA microarrays is a challenging problem. So far, probe selection algorithms must trade the ability to cope with large scale problems for a loss of accur...
132
click to vote
CDC
2010
IEEE
14 years 11 months ago
2010
IEEE
Abstract-- The Unscented Kalman Filter (UKF) is a nonlinear estimator that is particularly well suited for complex nonlinear systems. In the UKF, the error covariance is estimated ...
145
click to vote
CVPR
2008
IEEE
16 years 6 months ago
2008
IEEE
In this work we construct scale invariant descriptors (SIDs) without requiring the estimation of image scale; we thereby avoid scale selection which is often unreliable. Our start...
152
click to vote
SSIAI
2000
IEEE
15 years 8 months ago
2000
IEEE
In this paper we propose a new probabilistic relaxation framework to perform robust multiple motion estimation and segmentation from a sequence of images. Our approach uses displa...