2949 search results - page 256 / 590 » Universal Sparse Modeling |
136
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JMLR
2006
15 years 4 months ago
2006
In order to perform object recognition it is necessary to learn representations of the underlying components of images. Such components correspond to objects, object-parts, or fea...
123
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TIP
2008
15 years 4 months ago
2008
Abstract--This paper addresses the problem of efficient representation of scenes captured by distributed omnidirectional vision sensors. We propose a novel geometric model to descr...
JVCA
2010
15 years 2 months ago
2010
This paper presents a novel optimization framework for estimating the static or dynamic surfaces with details. The proposed method uses dense depths from a structuredlight system ...
144
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JMLR
2010
14 years 11 months ago
2010
Principal component analysis (PCA) is a classical data analysis technique that finds linear transformations of data that retain the maximal amount of variance. We study a case whe...
140
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EWSN
2012
Springer
13 years 11 months ago
2012
Springer
Empirical studies on link blacklisting show that the delivery rate is very sensitive to the calibration of the blacklisting threshold. If the calibration is too restrictive (the th...