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» Comparing Computer Models Solving Number Series Problems
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APPROX
2005
Springer
111views Algorithms» more  APPROX 2005»
15 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
CCGRID
2007
IEEE
15 years 4 months ago
Reliability Analysis of Self-Healing Network using Discrete-Event Simulation
The number of processors embedded on high performance computing platforms is continuously increasing to accommodate user desire to solve larger and more complex problems. However,...
Thara Angskun, George Bosilca, Graham E. Fagg, Jel...
BIBE
2005
IEEE
126views Bioinformatics» more  BIBE 2005»
15 years 3 months ago
Highly Scalable and Accurate Seeds for Subsequence Alignment
We propose a method for finding seeds for the local alignment of two nucleotide sequences. Our method uses randomized algorithms to find approximate seeds. We present a dynamic ...
Abhijit Pol, Tamer Kahveci
ASIACRYPT
2000
Springer
15 years 2 months ago
Unconditionally Secure Digital Signature Schemes Admitting Transferability
A potentially serious problem with current digital signature schemes is that their underlying hard problems from number theory may be solved by an innovative technique or a new gen...
Goichiro Hanaoka, Junji Shikata, Yuliang Zheng, Hi...
CVPR
2011
IEEE
14 years 5 months ago
Discrete-Continuous Optimization for Large-scale Structure from Motion
Recent work in structure from motion (SfM) has successfully built 3D models from large unstructured collections of images downloaded from the Internet. Most approaches use increme...
David Crandall, Andrew Owens, Noah Snavely, Daniel...