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IJON
2007
184views more  IJON 2007»
13 years 5 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
ICVGIP
2004
13 years 6 months ago
Cursive Word Recognition Using a Novel Feature Extraction Method and a Neural Network
In this paper, we present a holistic system for the recognition of cursive handwriting that utilizes a novel feature extraction method and a neural network. The Hough transform is...
José Ruiz-Pinales, René Jaime-Rivas
BMCBI
2010
232views more  BMCBI 2010»
13 years 5 months ago
LucidDraw: Efficiently visualizing complex biochemical networks within MATLAB
Background: Biochemical networks play an essential role in systems biology. Rapidly growing network data and e research activities call for convenient visualization tools to aid i...
Sheng He, Juan Mei, Guiyang Shi, Zhengxiang Wang, ...
COMPSAC
2006
IEEE
13 years 11 months ago
A General Purpose Framework for Wireless Sensor Network Applications
Wireless sensor networks are becoming a basis for a rapidly increasing range of applications. Habitat, flood, and wildfire monitoring are interesting examples of such applicatio...
Ayman Z. Faza, Sahra Sedigh-Ali
STOC
1993
ACM
141views Algorithms» more  STOC 1993»
13 years 9 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