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AAAI
2010
14 years 11 months ago
Multi-Instance Dimensionality Reduction
Multi-instance learning deals with problems that treat bags of instances as training examples. In single-instance learning problems, dimensionality reduction is an essential step ...
Yu-Yin Sun, Michael K. Ng, Zhi-Hua Zhou
NETWORKING
2004
14 years 11 months ago
Multi-objective Egress Router Selection Policies for Inter-domain Traffic with Bandwidth Guarantees
The next generation Internet is designed to accommodate flows that span across multiple domains with quality of service guarantees, in particular bandwidth. In this context, destin...
Kin-Hon Ho, Ning Wang, Panos Trimintzios, George P...
CIMAGING
2009
265views Hardware» more  CIMAGING 2009»
14 years 11 months ago
Multi-object segmentation using coupled nonparametric shape and relative pose priors
We present a new method for multi-object segmentation in a maximum a posteriori estimation framework. Our method is motivated by the observation that neighboring or coupling objec...
Mustafa Gökhan Uzunbas, Octavian Soldea, M&uu...
CVIU
2006
219views more  CVIU 2006»
14 years 9 months ago
Boundary matting for view synthesis
In the last few years, new view synthesis has emerged as an important application of 3D stereo reconstruction. While the quality of stereo has improved, it is still imperfect, and...
Samuel W. Hasinoff, Sing Bing Kang, Richard Szelis...
CIKM
2010
Springer
14 years 7 months ago
Combining link and content for collective active learning
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
Lixin Shi, Yuhang Zhao, Jie Tang