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SIGGRAPH
1995
ACM
15 years 8 months ago
Stochastic screening dithering with adaptive clustering
We developa clustereddithering methodthatusesstochasticscreening and is able to perform an adaptive variation of the cluster size. This makes it possible to achieve optimal rendit...
Luiz Velho, Jonas Gomes
148
Voted
EVOW
2008
Springer
15 years 6 months ago
Reconstruction of Networks from Their Betweenness Centrality
Abstract. In this paper we study the reconstruction of a network topology from the values of its betweenness centrality, a measure of the influence of each of its nodes in the diss...
Francesc Comellas, Juan Paz-Sánchez
126
Voted
NIPS
2007
15 years 6 months ago
Convex Learning with Invariances
Incorporating invariances into a learning algorithm is a common problem in machine learning. We provide a convex formulation which can deal with arbitrary loss functions and arbit...
Choon Hui Teo, Amir Globerson, Sam T. Roweis, Alex...
NIPS
2003
15 years 6 months ago
Semi-Supervised Learning with Trees
We describe a nonparametric Bayesian approach to generalizing from few labeled examples, guided by a larger set of unlabeled objects and the assumption of a latent tree-structure ...
Charles Kemp, Thomas L. Griffiths, Sean Stromsten,...
ICEC
1994
147views more  ICEC 1994»
15 years 6 months ago
VLSI Circuit Synthesis Using a Parallel Genetic Algorithm
A parallel implementation of a genetic algorithm used to evolve simple analog VLSI circuits is described. The parallel computer system consisted of twenty distributed SPARC workst...
Mike Davis, Luoping Liu, John G. Elias