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» Discretization: An Enabling Technique
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SODA
2010
ACM
189views Algorithms» more  SODA 2010»
16 years 4 months ago
Correlation Clustering with Noisy Input
Correlation clustering is a type of clustering that uses a basic form of input data: For every pair of data items, the input specifies whether they are similar (belonging to the s...
Claire Mathieu, Warren Schudy
SODA
2010
ACM
704views Algorithms» more  SODA 2010»
16 years 4 months ago
A locality-sensitive hash for real vectors
We present a simple and practical algorithm for the c-approximate near neighbor problem (c-NN): given n points P Rd and radius R, build a data structure which, given q Rd , can ...
Tyler Neylon
SODA
2010
ACM
171views Algorithms» more  SODA 2010»
16 years 4 months ago
Coresets and Sketches for High Dimensional Subspace Approximation Problems
We consider the problem of approximating a set P of n points in Rd by a j-dimensional subspace under the p measure, in which we wish to minimize the sum of p distances from each p...
Dan Feldman, Morteza Monemizadeh, Christian Sohler...
SODA
2010
ACM
261views Algorithms» more  SODA 2010»
16 years 4 months ago
Bidimensionality and Kernels
Bidimensionality theory appears to be a powerful framework in the development of meta-algorithmic techniques. It was introduced by Demaine et al. [J. ACM 2005 ] as a tool to obtai...
Fedor V. Fomin, Daniel Lokshtanov, Saket Saurabh, ...
ICCAD
2006
IEEE
101views Hardware» more  ICCAD 2006»
16 years 3 months ago
A spectrally accurate integral equation solver for molecular surface electrostatics
Electrostatic analysis of complicated molecular surfaces arises in a number of nanotechnology applications including: biomolecule design, carbon nanotube simulation, and molecular...
Shih-Hsien Kuo, Jacob White