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» Approximate Data Structures with Applications
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79
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SCAM
2006
IEEE
15 years 6 months ago
Characterising, Explaining, and Exploiting the Approximate Nature of Static Analysis through Animation
This paper addresses the question: “How can animated visualisation be used to express interesting properties of static analysis?” The particular focus is upon static dependenc...
David Binkley, Mark Harman, Jens Krinke
104
Voted
STACS
2007
Springer
15 years 7 months ago
A Deterministic Algorithm for Summarizing Asynchronous Streams over a Sliding Window
We consider the problem of maintaining aggregates over recent elements of a massive data stream. Motivated by applications involving network data, we consider asynchronous data str...
Costas Busch, Srikanta Tirthapura
175
Voted
SIGMOD
2006
ACM
149views Database» more  SIGMOD 2006»
16 years 29 days ago
Efficient query processing on unstructured tetrahedral meshes
Modern scientific applications consume massive volumes of data produced by computer simulations. Such applications require new data management capabilities in order to scale to te...
Stratos Papadomanolakis, Anastassia Ailamaki, Juli...
105
Voted
ADCM
2008
136views more  ADCM 2008»
15 years 29 days ago
Learning and approximation by Gaussians on Riemannian manifolds
Learning function relations or understanding structures of data lying in manifolds embedded in huge dimensional Euclidean spaces is an important topic in learning theory. In this ...
Gui-Bo Ye, Ding-Xuan Zhou
75
Voted
IWANN
2009
Springer
15 years 7 months ago
Development of Neural Network Structure with Biological Mechanisms
We present an evolving neural network model in which synapses appear and disappear stochastically according to bio-inspired probabilities. These are in general nonlinear functions ...
Samuel Johnson, Joaquín Marro, Jorge F. Mej...