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» Functional preprocessing for multilayer perceptrons
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ICANN
2007
Springer
15 years 10 months ago
Neural Network Processing for Multiset Data
Abstract. This paper introduces the notion of the variadic neural network (VNN). The inputs to a variadic network are an arbitrary-length list of n-tuples of real numbers, where n ...
Simon McGregor
IJCNN
2006
IEEE
15 years 10 months ago
On derivation of stagewise second-order backpropagation by invariant imbedding for multi-stage neural-network learning
— We present a simple, intuitive argument based on “invariant imbedding” in the spirit of dynamic programming to derive a stagewise second-order backpropagation (BP) algorith...
Eiji Mizutani, Stuart Dreyfus
177
Voted
ICDAR
2009
IEEE
15 years 1 months ago
Recognition of Handwritten Numerical Fields in a Large Single-Writer Historical Collection
This paper presents a segmentation-based handwriting recognizer and the performance that it achieves on the numerical fields extracted from a large single-writer historical collec...
Marius Bulacu, Axel Brink, Tijn van der Zant, Lamb...
ISNN
2005
Springer
15 years 9 months ago
Lidar Signal Processing for Under-Water Object Detection
Abstract. This paper presents Artificial Neural Network (ANN) based architecture for underwater object detection from Light Detection And Ranging (Lidar) data. Lidar gives a sequen...
Vikramjit Mitra, Chia-Jiu Wang, Satarupa Banerjee
ISCAS
1999
IEEE
114views Hardware» more  ISCAS 1999»
15 years 8 months ago
Channel equalization by feedforward neural networks
A signal su ers from nonlinear, linear, and additive distortion when transmitted through a channel. Linear equalizers are commonly used in receivers to compensate for linear chann...
Biao Lu, Brian L. Evans