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161
Voted
FTCS
1993
15 years 5 months ago
1993
Although the present work does in fact employ training data, it does so in the interest of calibrating the results Six hundred faults were induced by injection into five live obtai...
142
Voted
BMCBI
2004
15 years 3 months ago
2004
Background: A central challenge in the molecular diagnosis and treatment of cancer is to define a set of molecular features that, taken together, distinguish a given cancer, or ty...
92
Voted
CVPR
2008
IEEE
16 years 5 months ago
2008
IEEE
This paper presents a new approach to discriminative modeling for classi cation and labeling. Our method, called Boosting on Multilevel Aggregates (BMA), adds a new class of hiera...
129
Voted
ICML
2005
IEEE
16 years 4 months ago
2005
IEEE
In this paper, we compare both discriminative and generative parameter learning on both discriminatively and generatively structured Bayesian network classifiers. We use either ma...
133
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SIBGRAPI
2009
IEEE
15 years 10 months ago
2009
IEEE
Appearance information is essential for applications such as tracking and people recognition. One of the main problems of using appearance-based discriminative models is the ambig...