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IJON
2007
184views more  IJON 2007»
13 years 6 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 7 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 6 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
14 years 6 days 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 10 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