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117
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
Simplification of mixture models has recently emerged as an important issue in the field of statistical learning. The heavy computational demands of using large order models dro...
144
Voted
CVPR
2007
IEEE
16 years 5 months ago
2007
IEEE
Markov Random Field, or MRF, models are a powerful tool for modeling images. While much progress has been made in algorithms for inference in MRFs, learning the parameters of an M...
143
Voted
DAC
2007
ACM
16 years 4 months ago
2007
ACM
Emerging single-chip heterogeneous multiprocessors feature hundreds of design elements contending for shared resources, making it difficult to isolate performance impacts of indiv...
148
Voted
IOR
2011
14 years 10 months ago
2011
We formulate a risk-averse two-stage stochastic linear programming problem in which unresolved uncertainty remains after the second stage. The objective function is formulated as ...
120
Voted
ECCV
2000
Springer
16 years 5 months ago
2000
Springer
Abstract. Recent human vision research [1] suggests modelling preattentive texture segmentation by taking a set of feature samples from a local region on each side of a hypothesize...