2825 search results - page 228 / 565 » Robust Feature Selection Algorithms |
176
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ICARCV
2008
IEEE
16 years 28 days ago
2008
IEEE
—This paper proposes a set of methods for building informative and robust feature point representations, used for accurately labeling points in a 3D point cloud, based on the typ...
156
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ICRA
2008
IEEE
16 years 28 days ago
2008
IEEE
— In this paper we present a novel approach to robust visual servoing. This method removes the feature tracking step from a typical visual servoing algorithm. We do not need corr...
168
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IBPRIA
2007
Springer
16 years 19 days ago
2007
Springer
This paper describes an experimental study about a robust contour feature (shape-context) for using in action recognition based on continuous hidden Markov models (HMM). We ran dif...
182
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ICMCS
2005
IEEE
16 years 2 days ago
2005
IEEE
Principal Component Analysis (PCA) has been widely used to extract features for pattern recognition problems such as object recognition. Oliva and Torralba used “spatial envelop...
173
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ICML
1994
IEEE
15 years 10 months ago
1994
IEEE
Model selection is important in many areas of supervised learning. Given a dataset and a set of models for predicting with that dataset, we must choose the model which is expected...