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ICDM
2007
IEEE
105views Data Mining» more  ICDM 2007»
15 years 11 months ago
Fast Mining of Complex Spatial Co-location Patterns Using GLIMIT
Most algorithms for mining interesting spatial colocations integrate the co-location / clique generation task with the interesting pattern mining task, and are usually based on th...
Florian Verhein, Ghazi Al-Naymat
STOC
2012
ACM
196views Algorithms» more  STOC 2012»
13 years 7 months ago
Time-space tradeoffs in resolution: superpolynomial lower bounds for superlinear space
We give the first time-space tradeoff lower bounds for Resolution proofs that apply to superlinear space. In particular, we show that there are formulas of size N that have Reso...
Paul Beame, Christopher Beck, Russell Impagliazzo
GECCO
2005
Springer
232views Optimization» more  GECCO 2005»
15 years 10 months ago
Factorial representations to generate arbitrary search distributions
A powerful approach to search is to try to learn a distribution of good solutions (in particular of the dependencies between their variables) and use this distribution as a basis ...
Marc Toussaint
MICCAI
2004
Springer
16 years 5 months ago
Geometric Flows for Segmenting Vasculature in MRI: Theory and Validation
Abstract. Often in neurosurgical planning a dual spin echo acquisition is performed that yields proton density (PD) and T2-weighted images to evaluate edema near a tumor or lesion....
Maxime Descoteaux, D. Louis Collins, Kaleem Siddiq...
159
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ICCV
1995
IEEE
15 years 8 months ago
Bayesian Decision Theory, the Maximum Local Mass Estimate, and Color Constancy
Computational vision algorithms are often developed in a Bayesian framework. Two estimators are commonly used: maximum a posteriori (MAP), and minimum mean squared error (MMSE). W...
William T. Freeman, David H. Brainard