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» The number of convex permutominoes
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NIPS
2008
13 years 11 months ago
Generative versus discriminative training of RBMs for classification of fMRI images
Neuroimaging datasets often have a very large number of voxels and a very small number of training cases, which means that overfitting of models for this data can become a very se...
Tanya Schmah, Geoffrey E. Hinton, Richard S. Zemel...
QUESTA
2006
100views more  QUESTA 2006»
13 years 10 months ago
A queueing analysis of max-min fairness, proportional fairness and balanced fairness
We compare the performance of three usual allocations (max-min fairness, proportional fairness and balanced fairness) in a communication network whose resources are shared by a ra...
Thomas Bonald, Laurent Massoulié, Alexandre...
APPROX
2005
Springer
111views Algorithms» more  APPROX 2005»
14 years 3 months ago
Sampling Bounds for Stochastic Optimization
A large class of stochastic optimization problems can be modeled as minimizing an objective function f that depends on a choice of a vector x ∈ X, as well as on a random external...
Moses Charikar, Chandra Chekuri, Martin Pál
IPSN
2005
Springer
14 years 3 months ago
The sensor selection problem for bounded uncertainty sensing models
We address the problem of selecting sensors so as to minimize the error in estimating the position of a target. We consider a generic sensor model where the measurements can be in...
Volkan Isler, Ruzena Bajcsy
COMPGEOM
2004
ACM
14 years 3 months ago
A 2D kinetic triangulation with near-quadratic topological changes
Given a set of n points S in the plane, a triangulation of S is a subdivision of the convex hull into triangles whose vertices are from S. In the kinetic setting, the input point ...
Pankaj K. Agarwal, Yusu Wang, Hai Yu