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» Approximation Algorithms for Partial Covering Problems
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FOCM
2006
97views more  FOCM 2006»
14 years 9 months ago
Learning Rates of Least-Square Regularized Regression
This paper considers the regularized learning algorithm associated with the leastsquare loss and reproducing kernel Hilbert spaces. The target is the error analysis for the regres...
Qiang Wu, Yiming Ying, Ding-Xuan Zhou
FSTTCS
2010
Springer
14 years 7 months ago
Minimizing Busy Time in Multiple Machine Real-time Scheduling
We consider the following fundamental scheduling problem. The input consists of n jobs to be scheduled on a set of machines of bounded capacities. Each job is associated with a re...
Rohit Khandekar, Baruch Schieber, Hadas Shachnai, ...
ICMLA
2008
14 years 11 months ago
Prediction-Directed Compression of POMDPs
High dimensionality of belief space in Partially Observable Markov Decision Processes (POMDPs) is one of the major causes that severely restricts the applicability of this model. ...
Abdeslam Boularias, Masoumeh T. Izadi, Brahim Chai...
ICCV
2003
IEEE
15 years 11 months ago
"Perspective Shape from Shading" and Viscosity Solutions
This article proposes a solution of the Lambertian shape from shading (SFS) problem in the case of a pinhole camera model (performing a perspective projection). Our approach is ba...
Emmanuel Prados, Olivier D. Faugeras
COLT
2003
Springer
15 years 2 months ago
On Finding Large Conjunctive Clusters
We propose a new formulation of the clustering problem that differs from previous work in several aspects. First, the goal is to explicitly output a collection of simple and meani...
Nina Mishra, Dana Ron, Ram Swaminathan