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IJON
2007
184views more  IJON 2007»
15 years 1 months ago
Convex incremental extreme learning machine
Unlike the conventional neural network theories and implementations, Huang et al. [Universal approximation using incremental constructive feedforward networks with random hidden n...
Guang-Bin Huang, Lei Chen
GLOBECOM
2009
IEEE
15 years 8 months ago
Data Acquisition through Joint Compressive Sensing and Principal Component Analysis
—In this paper we look at the problem of accurately reconstructing distributed signals through the collection of a small number of samples at a data gathering point. The techniqu...
Riccardo Masiero, Giorgio Quer, Daniele Munaretto,...
ICA3PP
2009
Springer
15 years 6 months ago
Recursive Dual-Net: A New Universal Network for Supercomputers of the Next Generation
In this paper, we propose a new universal network, called recursive dual-net (RDN), as a potential candidate for the interconnection network of supercomputers with very large scal...
Yamin Li, Shietung Peng, Wanming Chu
TIT
2010
82views Education» more  TIT 2010»
14 years 8 months ago
Average message delivery time for small-world networks in the continuum limit
Small-world networks are networks in which the graphical diameter of the network is as small as the diameter of random graphs but whose nodes are highly clustered when compared wit...
Hazer Inaltekin, Mung Chiang, H. Vincent Poor
MOBIHOC
2003
ACM
16 years 1 months ago
Topology management in ad hoc networks
The efficiency of a communication network depends not only on its control protocols, but also on its topology. We propose a distributed topology management algorithm that construc...
Lichun Bao, J. J. Garcia-Luna-Aceves