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APPROX
2005
Springer
111views Algorithms» more  APPROX 2005»
14 years 1 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
PADS
2003
ACM
14 years 29 days ago
Parallel Network Simulation under Distributed Genesis
We describe two major developments in the General Network Simulation Integration System (Genesis): the support for BGP protocol in large network simulations and distribution of th...
Boleslaw K. Szymanski, Yu Liu, Rashim Gupta
MSR
2010
ACM
13 years 9 months ago
Identifying security bug reports via text mining: An industrial case study
-- A bug-tracking system such as Bugzilla contains bug reports (BRs) collected from various sources such as development teams, testing teams, and end users. When bug reporters subm...
Michael Gegick, Pete Rotella, Tao Xie
ICPR
2008
IEEE
14 years 9 months ago
A machine learning based scheme for double JPEG compression detection
Double JPEG compression detection is of significance in digital forensics. We propose an effective machine learning based scheme to distinguish between double and single JPEG comp...
Chunhua Chen, Wei Su, Yun Q. Shi
ISBI
2004
IEEE
14 years 8 months ago
Penalized Likelihood Transmission Image Reconstruction: Unconstrained Monotonic Algorithms
Statistical reconstruction algorithms in transmission tomography yield improved images relative to the conventional FBP method. The most popular iterative algorithms for this prob...
Somesh Srivastava, Jeffrey A. Fessler