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» Self Bounding Learning Algorithms
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109
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COLT
2005
Springer
15 years 6 months ago
On Spectral Learning of Mixtures of Distributions
We consider the problem of learning mixtures of distributions via spectral methods and derive a tight characterization of when such methods are useful. Specifically, given a mixt...
Dimitris Achlioptas, Frank McSherry
100
Voted
ECCV
2010
Springer
15 years 4 months ago
Max-Margin Dictionary Learning for Multiclass Image Categorization
Abstract. Visual dictionary learning and base (binary) classifier training are two basic problems for the recently most popular image categorization framework, which is based on t...
113
Voted
AMDO
2006
Springer
15 years 4 months ago
Monocular Tracking with a Mixture of View-Dependent Learned Models
This paper considers the problem of monocular human body tracking using learned models. We propose to learn the joint probability distribution of appearance and body pose using a m...
Tobias Jaeggli, Esther Koller-Meier, Luc J. Van Go...
104
Voted
ICCV
2009
IEEE
16 years 5 months ago
Weakly supervised discriminative localization and classification: a joint learning process
Visual categorization problems, such as object classification or action recognition, are increasingly often approached using a detection strategy: a classifier function is first ...
Minh Hoai Nguyen, Lorenzo Torresani, Fernando de l...
87
Voted
FC
2010
Springer
132views Cryptology» more  FC 2010»
15 years 4 months ago
A Learning-Based Approach to Reactive Security
Despite the conventional wisdom that proactive security is superior to reactive security, we show that reactive security can be competitive with proactive security as long as the r...
Adam Barth, Benjamin I. P. Rubinstein, Mukund Sund...