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131
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CVPR
2010
IEEE
16 years 1 months ago
2010
IEEE
For object category recognition to scale beyond a small number of classes, it is important that algorithms be able to learn from a small amount of labeled data per additional clas...
142
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CVPR
2006
IEEE
16 years 6 months ago
2006
IEEE
In this paper we propose a practical and efficient method for finding the globally optimal solution to the problem of pose estimation of a known object. We present a framework tha...
128
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CORR
2004
Springer
15 years 4 months ago
2004
Springer
This paper explores the use of genetic algorithms for the design of networks, where the demands on the network fluctuate in time. For varying network constraints, we find the best...
139
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IJON
2000
15 years 4 months ago
2000
A general problem in model selection is to obtain the right parameters that make a model "t observed data. For a multilayer perceptron (MLP) trained with back-propagation (BP...
145
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MASCOTS
2008
15 years 6 months ago
2008
Galois field implementations are central to the design of many reliable and secure systems, with many systems implementing them in software. The two most common Galois field opera...