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199
Voted
ICANN
2009
Springer
16 years 1 months ago
2009
Springer
Abstract. Modeling the statistical structure of natural images is interesting for reasons related to neuroscience as well as engineering. Currently, this modeling relies heavily on...
172
Voted
IWANN
2009
Springer
16 years 1 months ago
2009
Springer
Frequently, the number of input variables (features) involved in a problem becomes too large to be easily handled by conventional machine-learning models. This paper introduces a c...
202
Voted
TAMC
2009
Springer
16 years 1 months ago
2009
Springer
In classical network flow theory the choice of paths, on which flow is sent, is only restricted by arc capacities. This, however, is not realistic in most applications. Many prob...
185
Voted
CVPR
2008
IEEE
16 years 1 months ago
2008
IEEE
Spatial priors play crucial roles in many high-level vision tasks, e.g. scene understanding. Usually, learning spatial priors relies on training a structured output model. In this...
175
Voted
DSD
2008
IEEE
16 years 1 months ago
2008
IEEE
Systems on chip (SoC) have much in common with traditional (networked) distributed systems in that they consist of largely independent components with dedicated communication inte...