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BMVC
2001
15 years 8 months ago
Combining 3D Deformable Models and Level Set Methods for the Segmentation of Abdominal Aortic Aneurysms
In this paper we present a system that combines the benefits of 3D deformable models and level set methods for medical volume segmentation. Our 3D deformable model is a very comp...
Derek R. Magee, Andrew J. Bulpitt, Elizabeth Berry
ECIS
2000
15 years 7 months ago
Different Pre-Processing Models for Financial Accounts when using Neural Networks for Auditing
The aim of this study is to investigate the impact of various pre-processing models on the forecast capability of artificial neural network (ANN) when auditing financial accounts. ...
Eija Koskivaara
NN
2007
Springer
15 years 6 months ago
Edge of chaos and prediction of computational performance for neural circuit models
We analyze in this article the significance of the edge of chaos for real-time computations in neural microcircuit models consisting of spiking neurons and dynamic synapses. We ...
Robert A. Legenstein, Wolfgang Maass
EMNLP
2010
15 years 4 months ago
Storing the Web in Memory: Space Efficient Language Models with Constant Time Retrieval
We present three novel methods of compactly storing very large n-gram language models. These methods use substantially less space than all known approaches and allow n-gram probab...
David Guthrie, Mark Hepple
IEEEIAS
2008
IEEE
16 years 26 days ago
LoSS Detection Approach Based on ESOSS and ASOSS Models
This paper investigates Loss of Self-similarity (LoSS) detection performance using Exact and Asymptotic Second Order Self-Similarity (ESOSS and ASOSS) models. Previous works on Lo...
Mohd Fo'ad Rohani, Mohd Aizaini Maarof, Ali Selama...