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155
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ICMLC
2010
Springer
15 years 3 months ago
2010
Springer
We review a multiple kernel learning (MKL) technique called p regularised multiple kernel Fisher discriminant analysis (MK-FDA), and investigate the effect of feature space denois...
130
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PPSN
2010
Springer
15 years 3 months ago
2010
Springer
Abstract. The chief purpose of research in optimisation is to understand how to design (or choose) the most suitable algorithm for a given distribution of problem instances. Ideall...
149
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CVPR
2012
IEEE
13 years 7 months ago
2012
IEEE
In this paper, we propose a bilevel sparse coding model for coupled feature spaces, where we aim to learn dictionaries for sparse modeling in both spaces while enforcing some desi...
138
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IFL
1997
Springer
15 years 9 months ago
1997
Springer
Common subexpression elimination is a well-known compiler optimisation that saves time by avoiding the repetition of the same computation. In lazy functional languages, referential...
134
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DCC
2006
IEEE
16 years 4 months ago
2006
IEEE
The use of compression algorithms in machine learning tasks such as clustering and classification has appeared in a variety of fields, sometimes with the promise of reducing probl...