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JMLR
2010
124views more  JMLR 2010»
13 years 3 months ago
Multiclass-Multilabel Classification with More Classes than Examples
We discuss multiclass-multilabel classification problems in which the set of classes is extremely large. Most existing multiclass-multilabel learning algorithms expect to observe ...
Ofer Dekel, Ohad Shamir
AIEDU
2010
13 years 3 months ago
Scaffolding Meta-Cognitive Skills for Effective Analogical Problem Solving via Tailored Example Selection
Although worked-out examples play a key role in cognitive skill acquisition, research demonstrates that students have various levels of meta-cognitive abilities for using examples ...
Kasia Muldner, Cristina Conati
CVPR
2010
IEEE
14 years 4 months ago
Comparative object similarity for improved recognition with few or no examples
Learning models for recognizing objects with few or no training examples is important, due to the intrinsic longtailed distribution of objects in the real world. In this paper, we...
Gang Wang, David Forsyth, Derek Hoiem
CGF
2007
127views more  CGF 2007»
13 years 8 months ago
Crowds by Example
We present an example-based crowd simulation technique. Most crowd simulation techniques assume that the behavior exhibited by each person in the crowd can be defined by a restri...
Alon Lerner, Yiorgos Chrysanthou, Dani Lischinski
ICIAR
2007
Springer
14 years 2 months ago
Solving the Inverse Problem of Image Zooming Using "Self-Examples"
Abstract. In this paper we present a novel single-frame image zooming technique based on so-called “self-examples”. Our method combines the ideas of fractal-based image zooming...
Mehran Ebrahimi, Edward R. Vrscay