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SDM
2007
SIAM
162views Data Mining» more  SDM 2007»
15 years 6 months ago
Probabilistic Joint Feature Selection for Multi-task Learning
We study the joint feature selection problem when learning multiple related classification or regression tasks. By imposing an automatic relevance determination prior on the hypo...
Tao Xiong, Jinbo Bi, R. Bharat Rao, Vladimir Cherk...
143
Voted
AAMAS
2007
Springer
15 years 5 months ago
An experts approach to strategy selection in multiagent meeting scheduling
Abstract. In the multiagent meeting scheduling problem, agents negotiate with each other on behalf of their users to schedule meetings. While a number of negotiation approaches hav...
Elisabeth Crawford, Manuela M. Veloso
200
Voted
TIP
2010
129views more  TIP 2010»
15 years 3 months ago
Selective Data Pruning-Based Compression Using High-Order Edge-Directed Interpolation
—This paper proposes a selective data pruning-based compression scheme to improve the rate-distortion relation of compressed images and video sequences. The original frames are p...
Dung Trung Vo, Joel Solé, Peng Yin, Cristin...
158
Voted
ICC
2009
IEEE
127views Communications» more  ICC 2009»
15 years 2 months ago
Starburst SSD: An Efficient Protocol for Selective Dissemination
Abstract--We present Starburst, a routing-based protocol designed to efficiently disseminate data items to small subsets within a sensor network. Starburst constructs a routing hie...
Tahir Azim, Qasim Mansoor, Philip Levis
CVPR
2007
IEEE
16 years 7 months ago
Object Tracking by Asymmetric Kernel Mean Shift with Automatic Scale and Orientation Selection
Tracking objects using the mean shift method is performed by iteratively translating a kernel in the image space such that the past and current object observations are similar. Tr...
Alper Yilmaz