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ICCV
2007
IEEE
16 years 6 months ago
Scene Summarization for Online Image Collections
We formulate the problem of scene summarization as selecting a set of images that efficiently represents the visual content of a given scene. The ideal summary presents the most i...
Ian Simon, Noah Snavely, Steven M. Seitz
CVPR
2010
IEEE
16 years 14 days ago
Online-Batch Strongly Convex Multi Kernel Learning
Several object categorization algorithms use kernel methods over multiple cues, as they offer a principled approach to combine multiple cues, and to obtain state-of-theart perform...
Francesco Orabona, Jie Luo, Barbara Caputo
IPPS
2007
IEEE
15 years 10 months ago
On the Design of Online Scheduling Algorithms for Advance Reservations and QoS in Grids
Abstract— We consider the problem of providing QoS guarantees to Grid users through advance reservation of resources. Advance reservation mechanisms provide the ability to alloca...
Claris Castillo, George N. Rouskas, Khaled Harfous...
COLT
2007
Springer
15 years 10 months ago
Online Learning with Prior Knowledge
The standard so-called experts algorithms are methods for utilizing a given set of “experts” to make good choices in a sequential decision-making problem. In the standard setti...
Elad Hazan, Nimrod Megiddo
113
Voted
HICSS
2006
IEEE
99views Biometrics» more  HICSS 2006»
15 years 10 months ago
A Framework for Automatic Online Personalization
Inexpensive data collection and storage technologies and a global thirst for information have led to data repositories so large that users may become disoriented and unable to loc...
Paul Ralph, Jeff Parsons