399 search results - page 34 / 80 » Robust Boosting for Learning from Few Examples |
HIS
2008
14 years 11 months ago
2008
Classification in imbalanced domains is a recent challenge in machine learning. We refer to imbalanced classification when data presents many examples from one class and few from ...
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MICCAI
2006
Springer
15 years 10 months ago
2006
Springer
This paper presents a learning based method for automatic extraction of the major cortical sulci from MRI volumes or extracted surfaces. Instead of using a few pre-defined rules su...
CVPR
2005
IEEE
15 years 11 months ago
2005
IEEE
Training datasets for learning of object categories are often contaminated or imperfect. We explore an approach to automatically identify examples that are noisy or troublesome fo...
MCS
2009
Springer
15 years 4 months ago
2009
Springer
There are a variety of methods for inducing predictive systems from observed data. Many of these methods fall into the field of study of machine learning. Some of the most effec...
ICASSP
2008
IEEE
15 years 4 months ago
2008
IEEE
In this research, an iterative and unsupervised Turbo-style algorithm is presented and implemented for the task of automatic lexical acquisition. The algorithm makes use of spoken...