879 search results - page 129 / 176 » Forecasting high-dimensional data |
141
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ICML
2003
IEEE
16 years 6 months ago
2003
IEEE
Kernel methods have gained a great deal of popularity in the machine learning community as a method to learn indirectly in highdimensional feature spaces. Those interested in rela...
183
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CVPR
2010
IEEE
16 years 2 months ago
2010
IEEE
Searching approximate nearest neighbors in large scale high dimensional data set has been a challenging problem. This paper presents a novel and fast algorithm for learning binary...
159
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IROS
2009
IEEE
16 years 18 days ago
2009
IEEE
— In this paper we present a new approach for labeling 3D points with different geometric surface primitives using a novel feature descriptor – the Fast Point Feature Histogram...
214
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PSIVT
2009
Springer
16 years 15 days ago
2009
Springer
PCA-SIFT is an extension to SIFT which aims to reduce SIFT’s high dimensionality (128 dimensions) by applying PCA to the gradient image patches. However PCA is not a discriminati...
161
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ICASSP
2008
IEEE
16 years 13 days ago
2008
IEEE
Noisy or distorted video/audio training sets represent constant challenges in automated identification and verification tasks. We propose the method of Mutual Interdependence An...