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KDD
2008
ACM
161views Data Mining» more  KDD 2008»
16 years 7 months ago
Locality sensitive hash functions based on concomitant rank order statistics
: Locality Sensitive Hash functions are invaluable tools for approximate near neighbor problems in high dimensional spaces. In this work, we are focused on LSH schemes where the si...
Kave Eshghi, Shyamsundar Rajaram
CPHYSICS
2008
123views more  CPHYSICS 2008»
15 years 6 months ago
wannier90: A tool for obtaining maximally-localised Wannier functions
We present wannier90, a program for calculating maximally-localised Wannier functions (MLWF) from a set of Bloch energy bands that may or may not be attached to or mixed with othe...
Arash A. Mostofi, Jonathan R. Yates, Young-Su Lee,...
CPHYSICS
2006
182views more  CPHYSICS 2006»
15 years 6 months ago
MinFinder: Locating all the local minima of a function
A new stochastic clustering algorithm is introduced that aims to locate all the local minima of a multidimensional continuous and differentiable function inside a bounded domain. ...
Ioannis G. Tsoulos, Isaac E. Lagaris
COLT
1991
Springer
15 years 10 months ago
Improved Learning of AC0 Functions
Two extensions of the Linial, Mansour, Nisan AC0 learning algorithm are presented. The LMN method works when input examples are drawn uniformly. The new algorithmsimprove on their...
Merrick L. Furst, Jeffrey C. Jackson, Sean W. Smit...
NIPS
1994
15 years 7 months ago
The Electrotonic Transformation: a Tool for Relating Neuronal Form to Function
The spatial distribution and time course of electrical signals in neurons have important theoretical and practical consequences. Because it is difficult to infer how neuronal form...
Nicholas T. Carnevale, Kenneth Y. Tsai, Brenda J. ...