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» Computational Influence for Training and Entertainment
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ANNPR
2006
Springer
14 years 22 days ago
A Convolutional Neural Network Tolerant of Synaptic Faults for Low-Power Analog Hardware
Abstract. Recently, the authors described a training method for a convolutional neural network of threshold neurons. Hidden layers are trained by by clustering, in a feed-forward m...
Johannes Fieres, Karlheinz Meier, Johannes Schemme...
ICPR
2000
IEEE
14 years 12 months ago
A Modification of Eigenvalues to Compensate Estimation Errors of Eigenvectors
In statistical pattern recognition, parameters of distributions are usually estimated from training samples. It is well known that shortage of training samples causes estimation e...
Masakazu Iwamura, Shinichiro Omachi, Hirotomo Aso
ICCV
2001
IEEE
15 years 21 days ago
Empirical Filter Estimation for Subpixel Interpolation and Matching
We study the low-level problem of predicting pixel intensities after subpixel image translations. This is a basic subroutine for image warping and super-resolution, and it has a c...
Bill Triggs
IVA
2005
Springer
14 years 4 months ago
An Objective Character Believability Evaluation Procedure for Multi-agent Story Generation Systems
Abstract. The ability to generate narrative is of importance to computer systems that wish to use story effectively for entertainment, training, or education. One of the focuses of...
Mark O. Riedl, R. Michael Young
ATAL
2004
Springer
14 years 4 months ago
An Intent-Driven Planner for Multi-Agent Story Generation
The ability to generate narrative is of importance to computer systems that wish to use story effectively for entertainment, training, or education. We identify two properties of ...
Mark O. Riedl, R. Michael Young