Sciweavers

59 search results - page 1 / 12
» Analysis of greedy approximations with nonsubmodular potenti...
Sort
View
SODA
2008
ACM
128views Algorithms» more  SODA 2008»
13 years 5 months ago
Analysis of greedy approximations with nonsubmodular potential functions
In this paper, we present two techniques to analyze greedy approximation with nonsubmodular functions restricted submodularity and shifted submodularity. As an application of the ...
Ding-Zhu Du, Ronald L. Graham, Panos M. Pardalos, ...
CORR
2011
Springer
168views Education» more  CORR 2011»
12 years 10 months ago
Submodular meets Spectral: Greedy Algorithms for Subset Selection, Sparse Approximation and Dictionary Selection
We study the problem of selecting a subset of k random variables from a large set, in order to obtain the best linear prediction of another variable of interest. This problem can ...
Abhimanyu Das, David Kempe
SODA
2008
ACM
184views Algorithms» more  SODA 2008»
13 years 5 months ago
Coresets, sparse greedy approximation, and the Frank-Wolfe algorithm
The problem of maximizing a concave function f(x) in a simplex S can be solved approximately by a simple greedy algorithm. For given k, the algorithm can find a point x(k) on a k-...
Kenneth L. Clarkson
CORR
2010
Springer
135views Education» more  CORR 2010»
13 years 4 months ago
A stochastic analysis of greedy routing in a spatially-dependent sensor network
For a sensor network, as tractable spatially-dependent node deployment model is presented with the property that the density is inversely proportional to the sink distance. A stoc...
H. Paul Keeler
JSAC
2010
194views more  JSAC 2010»
13 years 2 months ago
Burst communication by means of buffer allocation in body sensor networks: Exploiting signal processing to reduce the number of
Abstract—Monitoring human movements using wireless sensory devices promises to revolutionize the delivery of healthcare services. Such platforms use inertial information of their...
Hassan Ghasemzadeh, Vitali Loseu, Sarah Ostadabbas...