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» The Dark Side of Object Learning: Learning Objects
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139
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MVA
2007
160views Computer Vision» more  MVA 2007»
15 years 5 months ago
Probabilistic Motion Segmentation of Videos for Temporal Super Resolution
A novel scheme is proposed for achieving motion segmentation in low-frame rate videos, with application to temporal super resolution. Probabilistic generative models are commonly ...
Arasanathan Thayananthan, Masahiro Iwasaki, Robert...
165
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SOCRATES
2008
228views Education» more  SOCRATES 2008»
15 years 5 months ago
ScribaLab Ver. 2.0
What is Scribalab 2.0? A system to create web communities and a modular toolbox for writing and publish on the web. It is made up of two main sections both designed to welcome use...
Nuccia Silvana Pirruccello, Gianluca Tramontana
AAAI
2004
15 years 5 months ago
A Correspondence Metric for Imitation
Abstract-- Learning by imitation and learning from demonstration have received considerable attention in robotics. However, very little research has been in the direction of provid...
R. Amit, Maja J. Mataric
UAI
2003
15 years 5 months ago
The Information Bottleneck EM Algorithm
Learning with hidden variables is a central challenge in probabilistic graphical models that has important implications for many real-life problems. The classical approach is usin...
Gal Elidan, Nir Friedman
133
Voted
JMLR
2008
83views more  JMLR 2008»
15 years 3 months ago
Generalization from Observed to Unobserved Features by Clustering
We argue that when objects are characterized by many attributes, clustering them on the basis of a random subset of these attributes can capture information on the unobserved attr...
Eyal Krupka, Naftali Tishby