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» Second Order Approximations for Probability Models
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MICCAI
1999
Springer
13 years 11 months ago
Understanding the "Demon's Algorithm": 3D Non-rigid Registration by Gradient Descent
The “Demons Algorithm” in increasingly used for non-rigid registration of 3D medical images. However, if it is fast and usually accurate, the algorithm is based on intuitive id...
Xavier Pennec, Pascal Cachier, Nicholas Ayache
ICDE
2011
IEEE
194views Database» more  ICDE 2011»
12 years 11 months ago
Representative skylines using threshold-based preference distributions
— The study of skylines and their variants has received considerable attention in recent years. Skylines are essentially sets of most interesting (undominated) tuples in a databa...
Atish Das Sarma, Ashwin Lall, Danupon Nanongkai, R...
GECCO
2007
Springer
235views Optimization» more  GECCO 2007»
14 years 1 months ago
Expensive optimization, uncertain environment: an EA-based solution
Real life optimization problems often require finding optimal solution to complex high dimensional, multimodal problems involving computationally very expensive fitness function e...
Maumita Bhattacharya
BMCBI
2007
134views more  BMCBI 2007»
13 years 7 months ago
Efficient pairwise RNA structure prediction using probabilistic alignment constraints in Dynalign
Background: Joint alignment and secondary structure prediction of two RNA sequences can significantly improve the accuracy of the structural predictions. Methods addressing this p...
Arif Ozgun Harmanci, Gaurav Sharma, David H. Mathe...
APPROX
2005
Springer
111views Algorithms» more  APPROX 2005»
14 years 29 days 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