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TCOM
2008
81views more  TCOM 2008»
13 years 7 months ago
On optimal computation of MPLS label binding for multipoint-to-point connections
Most network operators have considered reducing Label Switched Routers (LSR) label spaces (i.e. the number of labels that can be used) as a means of simplifying management of under...
Fernando Solano, Ramón Fabregat, José...
FOIKS
2008
Springer
14 years 4 months ago
Cost-minimising strategies for data labelling : optimal stopping and active learning
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
Christos Dimitrakakis, Christian Savu-Krohn
SAC
2010
ACM
13 years 2 months ago
Convex onion peeling genetic algorithm: an efficient solution to map labeling of point-feature
Map labeling of point-feature is the problem of placing text labels to corresponding point features on a map in a way that minimizes overlaps while satisfying basic rules for the ...
Wan D. Bae, Shayma Alkobaisi, Petr Vojtechovsk&yac...
CORR
2011
Springer
211views Education» more  CORR 2011»
12 years 11 months ago
Labeling 3D scenes for Personal Assistant Robots
—Inexpensive RGB-D cameras that give an RGB image together with depth data have become widely available. We use this data to build 3D point clouds of a full scene. In this paper,...
Hema Swetha Koppula, Abhishek Anand, Thorsten Joac...
FOSSACS
2004
Springer
14 years 25 days ago
Duality for Labelled Markov Processes
Labelled Markov processes (LMPs) are automata whose transitions are given by probability distributions. In this paper we present a ‘universal’ LMP as the spectrum of a commutat...
Michael W. Mislove, Joël Ouaknine, Dusko Pavl...