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STOC
1993
ACM
141views Algorithms» more  STOC 1993»
15 years 3 months ago
Bounds for the computational power and learning complexity of analog neural nets
Abstract. It is shown that high-order feedforward neural nets of constant depth with piecewisepolynomial activation functions and arbitrary real weights can be simulated for Boolea...
Wolfgang Maass
ICC
2007
IEEE
15 years 6 months ago
Scheduling and Source Control with Average Queue-Length Control in Cellular Networks
— In this paper, a scheduling problem is considered in the cellular network where there exist CBR (constant bit rate) users requiring exact minimum average throughput and delay g...
Hyang-Won Lee, Cheoljung Kim, Song Chong
ICCV
2009
IEEE
14 years 9 months ago
Bayesian Poisson regression for crowd counting
Poisson regression models the noisy output of a counting function as a Poisson random variable, with a log-mean parameter that is a linear function of the input vector. In this wo...
Antoni B. Chan, Nuno Vasconcelos
JCT
2011
90views more  JCT 2011»
14 years 6 months ago
Small subgraphs in random graphs and the power of multiple choices
The standard paradigm for online power of two choices problems in random graphs is the Achlioptas process. Here we consider the following natural generalization: Starting with G0 a...
Torsten Mütze, Reto Spöhel, Henning Thom...
ISBRA
2007
Springer
15 years 5 months ago
Reconstruction of 3D Structures from Protein Contact Maps
Proteins are large organic compounds made of amino acids arranged in a linear chain (primary structure). Most proteins fold into unique threedimensional (3D) structures called inte...
Marco Vassura, Luciano Margara, Filippo Medri, Pie...