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» On Quality of Quality Measures for Classification
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VCIP
2003
15 years 7 months ago
Three-dimensional mesh simplification using normal variation error metric and modified subdivided edge classification
In order to transmit or store three-dimensional (3-D) mesh models efficiently, we need to simplify them. Although the quadric error metric (QEM) provides fast and accurate geometr...
Eun-Young Chang, Chung-Hyun Ahn, Yo-Sung Ho
ASWEC
2000
IEEE
15 years 11 months ago
ReVis: Reverse Engineering by Clustering and Visual Object Classification
This paper presents the framework of a scale-oriented scheme for the presentation and classification of reverse engineered sections of procedural code into objects. The aim is to ...
Aaron J. Quigley, Margot Postema, Heinz W. Schmidt
ENGL
2006
99views more  ENGL 2006»
15 years 6 months ago
A Patient Specific Neural Networks (MLP) for Optimization of Fuzzy Outputs in Classification of Epilepsy Risk Levels from EEG Si
In recent years Neural Networks have been widely used as pattern and statistical classifiers in bio medical engineering. Most research to date using hybrid systems (Fuzzy-Neuro) fo...
R. Sukanesh, R. Harikumar
ENGL
2007
160views more  ENGL 2007»
15 years 6 months ago
Diagnosis and Classification of Epilepsy Risk Levels from EEG Signals Using Fuzzy Aggregation Techniques
— This paper is intended to compare the performance of four different types of fuzzy aggregation methods in classification of epilepsy risk levels from EEG Signal parameters. The...
R. Sukanesh, R. Harikumar
IJDLS
2010
108views more  IJDLS 2010»
15 years 3 months ago
Sampling the Web as Training Data for Text Classification
Data acquisition is a major concern in text classification. The excessive human efforts required by conventional methods to build up quality training collection might not always b...
Wei-Yen Day, Chun-Yi Chi, Ruey-Cheng Chen, Pu-Jen ...