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» Convergence analysis of online algorithms
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ICDCS
2010
IEEE
15 years 4 months ago
Stochastic Steepest-Descent Optimization of Multiple-Objective Mobile Sensor Coverage
—We propose a steepest descent method to compute optimal control parameters for balancing between multiple performance objectives in stateless stochastic scheduling, wherein the ...
Chris Y. T. Ma, David K. Y. Yau, Nung Kwan Yip, Na...
102
Voted
NIPS
2007
15 years 2 months ago
A New View of Automatic Relevance Determination
Automatic relevance determination (ARD) and the closely-related sparse Bayesian learning (SBL) framework are effective tools for pruning large numbers of irrelevant features leadi...
David P. Wipf, Srikantan S. Nagarajan
CCS
2011
ACM
14 years 18 days ago
Fashion crimes: trending-term exploitation on the web
Online service providers are engaged in constant conflict with miscreants who try to siphon a portion of legitimate traffic to make illicit profits. We study the abuse of “tr...
Tyler Moore, Nektarios Leontiadis, Nicolas Christi...
ISBI
2002
IEEE
16 years 1 months ago
Joint estimation of cardiac kinematics and material parameters from noisy imaging data and uncertain mechanical model
There have been many efforts using image analysis algorithms to study cardiac kinematics, or using biomechanics strategies to study myocardial material properties. In this paper, ...
Huafeng Liu, Edward W. B. Lo, Pengcheng Shi
91
Voted
SDM
2009
SIAM
193views Data Mining» more  SDM 2009»
15 years 9 months ago
Agglomerative Mean-Shift Clustering via Query Set Compression.
Mean-Shift (MS) is a powerful non-parametric clustering method. Although good accuracy can be achieved, its computational cost is particularly expensive even on moderate data sets...
Xiaotong Yuan, Bao-Gang Hu, Ran He