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137
Voted
ECML
2006
Springer
15 years 7 months ago
Transductive Gaussian Process Regression with Automatic Model Selection
Abstract. In contrast to the standard inductive inference setting of predictive machine learning, in real world learning problems often the test instances are already available at ...
Quoc V. Le, Alexander J. Smola, Thomas Gärtne...
117
Voted
CVPR
2007
IEEE
16 years 5 months ago
Learning GMRF Structures for Spatial Priors
The goal of this paper is to find sparse and representative spatial priors that can be applied to part-based object localization. Assuming a GMRF prior over part configurations, w...
Lie Gu, Eric P. Xing, Takeo Kanade
123
Voted
ICML
2007
IEEE
16 years 4 months ago
Spectral clustering and transductive learning with multiple views
We consider spectral clustering and transductive inference for data with multiple views. A typical example is the web, which can be described by either the hyperlinks between web ...
Dengyong Zhou, Christopher J. C. Burges
116
Voted
WSDM
2010
ACM
254views Data Mining» more  WSDM 2010»
16 years 22 days ago
Learning Influence Probabilities In Social Networks
Recently, there has been tremendous interest in the phenomenon of influence propagation in social networks. The studies in this area assume they have as input to their problems a ...
Amit Goyal 0002, Francesco Bonchi, Laks V. S. Laks...
CVPR
2009
IEEE
15 years 10 months ago
Understanding videos, constructing plots learning a visually grounded storyline model from annotated videos
Analyzing videos of human activities involves not only recognizing actions (typically based on their appearances), but also determining the story/plot of the video. The storyline ...
Abhinav Gupta, Praveen Srinivasan, Jianbo Shi, Lar...