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KDD
2006
ACM
213views Data Mining» more  KDD 2006»
14 years 9 months ago
Learning sparse metrics via linear programming
Calculation of object similarity, for example through a distance function, is a common part of data mining and machine learning algorithms. This calculation is crucial for efficie...
Glenn Fung, Rómer Rosales
GECCO
2006
Springer
143views Optimization» more  GECCO 2006»
14 years 19 days ago
A hybridized genetic parallel programming based logic circuit synthesizer
Genetic Parallel Programming (GPP) is a novel Genetic Programming paradigm. Based on the GPP paradigm and a local search operator - FlowMap, a logic circuit synthesizing system in...
Wai Shing Lau, Kin-Hong Lee, Kwong-Sak Leung
SIGGRAPH
2000
ACM
14 years 16 days ago
Accessible animation and customizable graphics via simplicial configuration modeling
Our goal is to embed free-form constraints into a graphical model. With such constraints a graphic can maintain its visual integrity--and break rules tastefully--while being manip...
Tom Ngo, Doug Cutrell, Jenny Dana, Bruce Randall D...
SGP
2003
13 years 10 months ago
Provably Good Surface Sampling and Approximation
We present an algorithm for meshing surfaces that is a simple adaptation of a greedy “farthest point” technique proposed by Chew. Given a surface S, it progressively adds poin...
Steve Oudot, Jean-Daniel Boissonnat
ATAL
2011
Springer
12 years 9 months ago
Towards a unifying characterization for quantifying weak coupling in dec-POMDPs
Researchers in the field of multiagent sequential decision making have commonly used the terms “weakly-coupled” and “loosely-coupled” to qualitatively classify problems i...
Stefan J. Witwicki, Edmund H. Durfee