3256 search results - page 368 / 652 » Learning Linear Transformations |
183
click to vote
ECCV
2008
Springer
16 years 8 months ago
2008
Springer
Assumptions of brightness constancy and spatial smoothness underlie most optical flow estimation methods. In contrast to standard heuristic formulations, we learn a statistical mod...
215
click to vote
IJCNN
2007
IEEE
16 years 27 days ago
2007
IEEE
Abstract— The optimal model parameters of a kernel machine are typically given by the solution of a convex optimisation problem with a single global optimum. Obtaining the best p...
217
click to vote
STOC
2000
ACM
15 years 11 months ago
2000
ACM
We describe a slightly subexponential time algorithm for learning parity functions in the presence of random classification noise, a problem closely related to several cryptograph...
208
click to vote
CIVR
2008
Springer
15 years 8 months ago
2008
Springer
Since the emergence of extensive multimedia data, feature fusion has been more and more important for image and video retrieval, indexing and annotation. Existing feature fusion t...
199
click to vote
BMCBI
2008
15 years 6 months ago
2008
Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...