658 search results - page 13 / 132 » Arguing from Experience to Classifying Noisy Data |
84
Voted
DAWAK
2008
Springer
14 years 11 months ago
2008
Springer
In this paper we discuss problems of constructing classifiers from imbalanced data. We describe a new approach to selective preprocessing of imbalanced data which combines local ov...
95
Voted
MICCAI
2005
Springer
2005
Springer
MRI Tissue Classification with Neighborhood Statistics: A Nonparametric, Entropy-Minimizing Approach
15 years 10 months ago
We introduce a novel approach for magnetic resonance image (MRI) brain tissue classification by learning image neighborhood statistics from noisy input data using nonparametric den...
106
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BMCBI
2010
14 years 9 months ago
2010
Background: Generally speaking, different classifiers tend to work well for certain types of data and conversely, it is usually not known a priori which algorithm will be optimal ...
105
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BMCBI
2006
14 years 9 months ago
2006
Background: Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of data classification problems. Since the p...
113
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AMDO
2010
Springer
14 years 7 months ago
2010
Springer
We propose a method for human full-body pose tracking from measurements of wearable inertial sensors. Since the data provided by such sensors is sparse, noisy and often ambiguous, ...