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101
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ICIP
2009
IEEE
14 years 10 months ago
A contrario hierarchical image segmentation
Hierarchies are a powerful tool for image segmentation, they produce a multiscale representation which allows to design robust algorithms and can be stored in tree-like structures...
Juan Cardelino, Vicent Caselles, Marcelo Bertalm&i...
PE
2010
Springer
140views Optimization» more  PE 2010»
14 years 11 months ago
KPC-Toolbox: Best recipes for automatic trace fitting using Markovian Arrival Processes
We present the KPC-Toolbox, a library of MATLAB scripts for fitting workload traces into Markovian Arrival Processes (MAPs) in an automatic way based on the recently proposed Kro...
Giuliano Casale, Eddy Z. Zhang, Evgenia Smirni
101
Voted
ICIP
2001
IEEE
16 years 2 months ago
Automatic monitoring of waste-water in industrial plants basins
We describe an algorithm for the analysis of color images of basins which gather dirty water, with the objective of detecting and estimate the presence of exceeding combustible oi...
Gaetano Baldini, Paola Campadelli, Raffaella Lanza...
104
Voted
ICASSP
2011
IEEE
14 years 4 months ago
Theoretical analyses on a class of nested RKHS's
One of central topics of kernel machines in the field of machine learning is a model selection, especially a selection of a kernel or its parameters. In our previous work, we dis...
Akira Tanaka, Hideyuki Imai, Mineichi Kudo, Masaak...
105
Voted
NIPS
2007
15 years 2 months ago
What makes some POMDP problems easy to approximate?
Point-based algorithms have been surprisingly successful in computing approximately optimal solutions for partially observable Markov decision processes (POMDPs) in high dimension...
David Hsu, Wee Sun Lee, Nan Rong