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90
Voted
ICCV
2009
IEEE
16 years 5 months ago
2009
IEEE
Methods for super-resolution can be broadly classified
into two families of methods: (i) The classical multi-image
super-resolution (combining images obtained at subpixel
misali...
123
Voted
ICCV
2009
IEEE
16 years 3 months ago
2009
IEEE
Methods for super-resolution (SR) can be broadly classified into two families of methods: (i) The classical multi-image super-resolution (combining images obtained at subpixel misa...
124
Voted
SIGMOD
2003
ACM
15 years 5 months ago
2003
ACM
Many web sites contain large sets of pages generated using a common template or layout. For example, Amazon lays out the author, title, comments, etc. in the same way in all its b...
94
Voted
ICONIP
2007
15 years 2 months ago
2007
In this paper we eliminate the need for parameter estimation associated with the set covering machine (SCM) by directly minimizing generalization error bounds. Firstly, we consider...
116
Voted
IICAI
2003
15 years 2 months ago
2003
Abstract. We introduce a new genetic algorithm approach for learning a Bayesian network structure from data. Our method is capable of learning over all node orderings and structure...