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» The Dark Side of Object Learning: Learning Objects
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CVPR
2010
IEEE
16 years 12 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
CVPR
2010
IEEE
16 years 12 days ago
Learning Mid-Level Features For Recognition
Many successful models for scene or object recognition transform low-level descriptors (such as Gabor filter responses, or SIFT descriptors) into richer representations of interme...
Y-Lan Boureau, Francis Bach, Yann LeCun, Jean Ponc...
HICSS
2009
IEEE
134views Biometrics» more  HICSS 2009»
15 years 10 months ago
Bridging Socio-Technical Capital in an Online Learning Environment
This work is based on the premise that online learning environments can potentially help develop communities of scholars by enabling participants to discover persons and resources...
Daniel D. Suthers, Kar-Hai Chu, Samuel Joseph
CCGRID
2008
IEEE
15 years 10 months ago
Grid Differentiated Services: A Reinforcement Learning Approach
—Large scale production grids are a major case for autonomic computing. Following the classical definition of Kephart, an autonomic computing system should optimize its own beha...
Julien Perez, Cécile Germain-Renaud, Bal&aa...
CCGRID
2006
IEEE
15 years 10 months ago
Learning-Based Negotiation Strategies for Grid Scheduling
One of the key requirement for Grid infrastructures is the ability to share resources with nontrivial qualities of service. However, resource management in a decentralized infrast...
Jiadao Li, Ramin Yahyapour