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» Approximation Algorithms for Clustering Problems
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KI
2007
Springer
15 years 6 months ago
Solving Decentralized Continuous Markov Decision Problems with Structured Reward
We present an approximation method that solves a class of Decentralized hybrid Markov Decision Processes (DEC-HMDPs). These DEC-HMDPs have both discrete and continuous state variab...
Emmanuel Benazera
ECCV
2000
Springer
15 years 11 months ago
Approximate N-View Stereo
This paper introduces a new multi-view reconstruction problem called approximate N -view stereo. The goal of this problem is to recover a oneparameter family of volumes that are in...
Kiriakos N. Kutulakos
SIAMCOMP
1998
92views more  SIAMCOMP 1998»
15 years 6 months ago
Surface Approximation and Geometric Partitions
Motivated by applications in computer graphics, visualization, and scienti c computation, we study the computational complexity of the following problem: Given a set S of n points...
Pankaj K. Agarwal, Subhash Suri
FOCS
2006
IEEE
16 years 23 days ago
Approximate Min-Max Theorems of Steiner Rooted-Orientations of Hypergraphs
Given an undirected hypergraph and a subset of vertices S ⊆ V with a specified root vertex r ∈ S, the STEINER ROOTED-ORIENTATION problem is to find an orientation of all the...
Tamás Király, Lap Chi Lau
ATAL
2003
Springer
15 years 12 months ago
A method for decentralized clustering in large multi-agent systems
This paper examines a method of clustering within a fully decentralized multi-agent system. Our goal is to group agents with similar objectives or data, as is done in traditional ...
Elth Ogston, Benno J. Overeinder, Maarten van Stee...