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ICDCS
2009
IEEE
16 years 1 months ago
Modeling Probabilistic Measurement Correlations for Problem Determination in Large-Scale Distributed Systems
With the growing complexity in computer systems, it has been a real challenge to detect and diagnose problems in today’s large-scale distributed systems. Usually, the correlatio...
Jing Gao, Guofei Jiang, Haifeng Chen, Jiawei Han
STACS
2010
Springer
15 years 11 months ago
Quantum Algorithms for Testing Properties of Distributions
Abstract. Suppose one has access to oracles generating samples from two unknown probability distributions p and q on some N-element set. How many samples does one need to test whet...
Sergey Bravyi, Aram Wettroth Harrow, Avinatan Hass...
ICASSP
2011
IEEE
14 years 8 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
CVPR
2009
IEEE
16 years 11 months ago
P-Brush: Continuous Valued MRFs with Normed Pairwise Distributions for Image Segmentation
Interactive image segmentation traditionally involves the use of algorithms such as Graph Cuts or Random Walker. Common concerns with using Graph Cuts are metrication artifacts ...
Dheeraj Singaraju, Leo Grady, René Vidal
ICML
2005
IEEE
16 years 5 months ago
A model for handling approximate, noisy or incomplete labeling in text classification
We introduce a Bayesian model, BayesANIL, that is capable of estimating uncertainties associated with the labeling process. Given a labeled or partially labeled training corpus of...
Ganesh Ramakrishnan, Krishna Prasad Chitrapura, Ra...