19 search results - page 2 / 4 » Semi-Supervised Learning Using Gaussian Fields and Harmonic ... |
137
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KDD
2009
ACM
16 years 2 months ago
2009
ACM
Active and semi-supervised learning are important techniques when labeled data are scarce. Recently a method was suggested for combining active learning with a semi-supervised lea...
105
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ICMCS
2007
IEEE
15 years 8 months ago
2007
IEEE
A common trait of background subtraction algorithms is that they have learning rates, thresholds, and initial values that are hand-tuned for a scenario in order to produce the des...
133
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JAIR
1998
15 years 1 months ago
1998
This paper presents a general and efficient framework for probabilistic inference and learning from arbitrary uncertain information. It exploits the calculation properties of fini...
100
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ICIP
2006
IEEE
16 years 3 months ago
2006
IEEE
Sparse image reconstruction is of interest in the fields of radioastronomy and molecular imaging. The observation is assumed to be a linear transformation of the image, and corrup...
102
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CSE
2009
IEEE
15 years 8 months ago
2009
IEEE
—We introduce a new data set which contains both a self-declared friendship network and self-chosen attributes from a finite list defined by the social networking site. We prop...