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» On the sample mean of graphs
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VALUETOOLS
2006
ACM
176views Hardware» more  VALUETOOLS 2006»
15 years 3 months ago
How to solve large scale deterministic games with mean payoff by policy iteration
Min-max functions are dynamic programming operators of zero-sum deterministic games with finite state and action spaces. The problem of computing the linear growth rate of the or...
Vishesh Dhingra, Stephane Gaubert
ICIP
2010
IEEE
14 years 8 months ago
Local two-channel critically sampled filter-banks on graphs
In this paper, we propose two-channel filter-bank designs for signals defined on arbitrary graphs. These filter-banks are local, invertible and critically sampled. Depending on th...
Sunil K. Narang, Antonio Ortega
KDD
2006
ACM
164views Data Mining» more  KDD 2006»
15 years 10 months ago
Sampling from large graphs
Given a huge real graph, how can we derive a representative sample? There are many known algorithms to compute interesting measures (shortest paths, centrality, betweenness, etc.)...
Jure Leskovec, Christos Faloutsos
MFCS
2009
Springer
15 years 2 months ago
Sampling Edge Covers in 3-Regular Graphs
An edge cover C of an undirected graph is a set of edges such that every vertex has an adjacent edge in C. We show that a Glauber dynamics Markov chain for edge covers mixes rapidl...
Ivona Bezáková, William A. Rummler
ICASSP
2011
IEEE
14 years 1 months ago
Shannon meets Nyquist: Capacity limits of sampled analog channels
We explore several fundamental questions at the intersection of sampling theory and information theory. In particular, we study how capacity is affected by a given sampling mechan...
Yuxin Chen, Yonina C. Eldar, Andrea J. Goldsmith