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» Introduction to Randomized Algorithms
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APLAS
2010
ACM
15 years 3 months ago
Automatically Inferring Quantified Loop Invariants by Algorithmic Learning from Simple Templates
Abstract. By combining algorithmic learning, decision procedures, predicate abstraction, and simple templates, we present an automated technique for finding quantified loop invaria...
Soonho Kong, Yungbum Jung, Cristina David, Bow-Yaw...
TSP
2010
14 years 9 months ago
Compressive Sensing on Manifolds Using a Nonparametric Mixture of Factor Analyzers: Algorithm and Performance Bounds
Nonparametric Bayesian methods are employed to constitute a mixture of low-rank Gaussians, for data x RN that are of high dimension N but are constrained to reside in a low-dimen...
Minhua Chen, Jorge Silva, John William Paisley, Ch...
ICIP
2003
IEEE
16 years 4 months ago
Algorithms for stochastic approximations of curvature flows
Curvature flows have been extensively considered from a deterministic point of view. They have been shown to be useful for a number of applications including crystal growth, flame...
Gozde B. Unal, Delphine Nain, G. Ben-Arous, Nahum ...
ICIP
1998
IEEE
16 years 4 months ago
Reducing the Computational Complexity of a Map Post-Processing Algorithm for Video Sequences
Maximum a posteriori (MAP) filtering using the HuberMarkov random field (HMRF) image model has been shown in the past to be an effective method of reducing compression artifacts i...
Mark A. Robertson, Robert L. Stevenson
ICASSP
2011
IEEE
14 years 6 months ago
A general proof of convergence for adaptive distributed beamforming schemes
This work focuses on the convergence analysis of adaptive distributed beamforming schemes that can be reformulated as local random search algorithms via a random search framework....
Chang-Ching Chen, Chia-Shiang Tseng, Che Lin