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ICANN
2009
Springer
14 years 3 months ago
Spectra of the Spike Flow Graphs of Recurrent Neural Networks
Recently the notion of power law networks in the context of neural networks has gathered considerable attention. Some empirical results show that functional correlation networks in...
Filip Piekniewski
SIAMMAX
2010
145views more  SIAMMAX 2010»
13 years 3 months ago
Adaptive First-Order Methods for General Sparse Inverse Covariance Selection
In this paper, we consider estimating sparse inverse covariance of a Gaussian graphical model whose conditional independence is assumed to be partially known. Similarly as in [5],...
Zhaosong Lu
WAW
2009
Springer
147views Algorithms» more  WAW 2009»
14 years 3 months ago
A Dynamic Model for On-Line Social Networks
We present a deterministic model for on-line social networks based on transitivity and local knowledge in social interactions. In the Iterated Local Transitivity (ILT) model, at ea...
Anthony Bonato, Noor Hadi, Paul Horn, Pawel Pralat...
ICML
2007
IEEE
14 years 9 months ago
Adaptive mesh compression in 3D computer graphics using multiscale manifold learning
This paper investigates compression of 3D objects in computer graphics using manifold learning. Spectral compression uses the eigenvectors of the graph Laplacian of an object'...
Sridhar Mahadevan
GISCIENCE
2008
Springer
140views GIS» more  GISCIENCE 2008»
13 years 9 months ago
Modeling Herds and Their Evolvements from Trajectory Data
A trajectory is the time-stamped path of a moving entity through space. Given a set of trajectories, this paper proposes new conceptual definitions for a spatio-temporal pattern n...
Yan Huang, Cai Chen, Pinliang Dong