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
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. ...
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 ...
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...
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...