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» Workshop on Graph Computation Models
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UAI
2003
15 years 6 months ago
Learning Generative Models of Similarity Matrices
Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...
Rómer Rosales, Brendan J. Frey
STOC
2002
ACM
149views Algorithms» more  STOC 2002»
16 years 5 months ago
The complexity of choosing an H-colouring (nearly) uniformly at random
Cooper, Dyer and Frieze studied the problem of sampling H-colourings (nearly) uniformly at random. Special cases of this problem include sampling colourings and independent sets a...
Leslie Ann Goldberg, Steven Kelk, Mike Paterson
IPPS
2007
IEEE
15 years 11 months ago
Implementing Hirschberg's PRAM-Algorithm for Connected Components on a Global Cellular Automaton
The GCA (Global Cellular Automata) model consists of a collection of cells which change their states synchronously depending on the states of their neighbors like in the classical...
Johannes Jendrsczok, Rolf Hoffmann, Jörg Kell...
ISAAC
1997
Springer
162views Algorithms» more  ISAAC 1997»
15 years 9 months ago
A Randomized Linear Work EREW PRAM Algorithm to Find a Minimum Spanning Forest
We present a randomized EREW PRAM algorithm to nd a minimum spanning forest in a weighted undirected graph. On an n-vertex graph the algorithm runs in o((logn)1+ ) expected time f...
Chung Keung Poon, Vijaya Ramachandran
164
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PODC
2004
ACM
15 years 10 months ago
Analyzing Kleinberg's (and other) small-world Models
We analyze the properties of Small-World networks, where links are much more likely to connect “neighbor nodes” than distant nodes. In particular, our analysis provides new re...
Charles U. Martel, Van Nguyen