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CORR
2012
Springer
183views Education» more  CORR 2012»
12 years 6 months ago
Learning Determinantal Point Processes
Determinantal point processes (DPPs), which arise in random matrix theory and quantum physics, are natural models for subset selection problems where diversity is preferred. Among...
Alex Kulesza, Ben Taskar
SODA
2012
ACM
195views Algorithms» more  SODA 2012»
12 years 24 days ago
Concentration and moment inequalities for polynomials of independent random variables
In this work we design a general method for proving moment inequalities for polynomials of independent random variables. Our method works for a wide range of random variables incl...
Warren Schudy, Maxim Sviridenko
CVPR
2012
IEEE
12 years 23 days ago
Large scale metric learning from equivalence constraints
In this paper, we raise important issues on scalability and the required degree of supervision of existing Mahalanobis metric learning methods. Often rather tedious optimization p...
Martin Köstinger, Martin Hirzer, Paul Wohlhar...
COLT
2008
Springer
14 years 4 days ago
Adapting to a Changing Environment: the Brownian Restless Bandits
In the multi-armed bandit (MAB) problem there are k distributions associated with the rewards of playing each of k strategies (slot machine arms). The reward distributions are ini...
Aleksandrs Slivkins, Eli Upfal
CVPR
2006
IEEE
15 years 11 days ago
Image Pre-Conditioning for Out-of-Focus Projector Blur
We present a technique to reduce image blur caused by out-of-focus regions in projected imagery. Unlike traditional restoration algorithms that operate on a blurred image to recov...
Michael S. Brown, Peng Song, Tat-Jen Cham