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» Algorithmic Randomness of Closed Sets
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125
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PRL
2007
150views more  PRL 2007»
15 years 3 months ago
A method for initialising the K-means clustering algorithm using kd-trees
We present a method for initialising the K-means clustering algorithm. Our method hinges on the use of a kd-tree to perform a density estimation of the data at various locations. ...
Stephen J. Redmond, Conor Heneghan
173
Voted
ECCC
2011
190views ECommerce» more  ECCC 2011»
14 years 7 months ago
Optimal heuristic algorithms for the image of an injective function
The existence of optimal algorithms is not known for any decision problem in NP \ P. We consider the problem of testing the membership in the image of an injective function. We co...
Edward A. Hirsch, Dmitry Itsykson, Valeria Nikolae...
149
Voted
PODC
2004
ACM
15 years 9 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
126
Voted
TIP
2008
133views more  TIP 2008»
15 years 3 months ago
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields
This paper presents recursive cavity modeling--a principled, tractable approach to approximate, near-optimal inference for large Gauss-Markov random fields. The main idea is to su...
Jason K. Johnson, Alan S. Willsky
138
Voted
VLSID
2005
IEEE
120views VLSI» more  VLSID 2005»
15 years 9 months ago
On Finding Consecutive Test Vectors in a Random Sequence for Energy-Aware BIST Design
During pseudorandom testing, a significant amount of energy and test application time is wasted for generating and for applying “useless” test vectors that do not contribute t...
Sheng Zhang, Sharad C. Seth, Bhargab B. Bhattachar...