1393 search results - page 91 / 279 » Machine Learning by Function Decomposition |
122
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ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
Non-linear dimensionality reduction of noisy data is a challenging problem encountered in a variety of data analysis applications. Recent results in the literature show that spect...
106
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ECCV
2010
Springer
15 years 7 months ago
2010
Springer
In this work we propose a hierarchical approach for labeling semantic objects and regions in scenes. Our approach is reminiscent of early vision literature in that we use a decompo...
116
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ESANN
2008
15 years 3 months ago
2008
The analysis of spectral data constitutes new challenges for machine learning algorithms due to the functional nature of the data. Special attention is paid to the metric used in t...
JMLR
2010
14 years 8 months ago
2010
This is an extended version of the manuscript Torsten Hothorn, Peter B
130
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ICML
2006
IEEE
15 years 8 months ago
2006
IEEE
There are well-established methods for reducing the number of support vectors in a trained binary support vector machine, often with minimal impact on accuracy. We show how reduce...