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» Approximation of Information Granule Sets
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SODA
2010
ACM
164views Algorithms» more  SODA 2010»
15 years 9 months ago
Differentially Private Approximation Algorithms
Consider the following problem: given a metric space, some of whose points are "clients," select a set of at most k facility locations to minimize the average distance f...
Anupam Gupta, Katrina Ligett, Frank McSherry, Aaro...
JAIR
2006
160views more  JAIR 2006»
14 years 11 months ago
Anytime Point-Based Approximations for Large POMDPs
The Partially Observable Markov Decision Process has long been recognized as a rich framework for real-world planning and control problems, especially in robotics. However exact s...
Joelle Pineau, Geoffrey J. Gordon, Sebastian Thrun
ESA
2006
Springer
136views Algorithms» more  ESA 2006»
15 years 3 months ago
Approximation in Preemptive Stochastic Online Scheduling
Abstract. We present a first constant performance guarantee for preemptive stochastic scheduling to minimize the sum of weighted completion times. For scheduling jobs with release ...
Nicole Megow, Tjark Vredeveld
SIGGRAPH
2010
ACM
15 years 4 months ago
RepFinder: Finding Approximately Repeated Scene Elements for Image Editing
Repeated elements are ubiquitous and abundant in both manmade and natural scenes. Editing such images while preserving the repetitions and their relations is nontrivial due to over...
Ming-Ming Cheng, Fang-Lue Zhang, Niloy J. Mitra, X...
TIP
2008
133views more  TIP 2008»
14 years 11 months ago
A Recursive Model-Reduction Method for Approximate Inference in Gaussian Markov Random Fields
This paper presents recursive cavity modeling--a principled, tractable approach to approximate, near-optimal inference for large Gauss-Markov random fields. The main idea is to su...
Jason K. Johnson, Alan S. Willsky