1427 search results - page 98 / 286 » Learning with Annotation Noise |
131
Voted
ICIP
2010
IEEE
15 years 1 months ago
2010
IEEE
In [1], we derived an expression for the fundamental limit to image denoising assuming that the noise-free image is available. In this paper, we propose an estimator for the bound...
144
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CSL
2008
Springer
15 years 4 months ago
2008
Springer
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...
139
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GLVLSI
2005
IEEE
15 years 9 months ago
2005
IEEE
Switching model captures the data-driven uncertainty in logic circuits in a comprehensive probabilistic framework. Switching is a critical factor that influences dynamic, active ...
147
Voted
IWANN
2001
Springer
15 years 8 months ago
2001
Springer
Abstract. Mechanisms for adapting models, filters, regulators and so on to changing properties of a system are of fundamental importance in many modern identification, estimation...
136
Voted
ICIP
2003
IEEE
16 years 5 months ago
2003
IEEE
With the rapid technological advances in machine learning and data mining, it is now possible to train computers with hundreds of semantic concepts for the purpose of annotating i...