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CVPR
2008
IEEE
16 years 1 months ago
Transfer learning for image classification with sparse prototype representations
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
Ariadna Quattoni, Michael Collins, Trevor Darrell
IWC
2007
120views more  IWC 2007»
14 years 11 months ago
Visualizing set concordance with permutation matrices and fan diagrams
Scientific problem solving often involves concordance (or discordance) analysis among the result sets from different approaches. For example, different scientific analysis met...
Bo Hyoung Kim, Bongshin Lee, Jinwook Seo
104
Voted
IJCAI
2001
15 years 1 months ago
Exploiting Multiple Secondary Reinforcers in Policy Gradient Reinforcement Learning
Most formulations of Reinforcement Learning depend on a single reinforcement reward value to guide the search for the optimal policy solution. If observation of this reward is rar...
Gregory Z. Grudic, Lyle H. Ungar
DSN
2008
IEEE
15 years 6 months ago
Improving dependability of network configuration through policy classification
As a network evolves over time, multiple operators modify its configuration, without fully considering what has previously been done. Similar policies are defined more than once, ...
Sihyung Lee, Tina Wong, Hyong S. Kim
95
Voted
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
16 years 6 days ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...