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IJCAI
1989
14 years 11 months ago
An Empirical Comparison of Pattern Recognition, Neural Nets, and Machine Learning Classification Methods
Classification methods from statistical pattern recognition, neural nets, and machine learning were applied to four real-world data sets. Each of these data sets has been previous...
Sholom M. Weiss, Ioannis Kapouleas
PRL
2000
76views more  PRL 2000»
14 years 9 months ago
Road sign classification using Laplace kernel classifier
Driver support systems of intelligent vehicles will predict potentially dangerous situations in heavy traffic, help with navigation and vehicle guidance and interact with a human ...
Pavel Paclík, Jana Novovicová, Pavel...
ICANNGA
2009
Springer
173views Algorithms» more  ICANNGA 2009»
14 years 7 months ago
On Document Classification with Self-Organising Maps
Abstract This research deals with the use of self-organising maps for the classification of text documents. The aim was to classify documents to separate classes according to their...
Jyri Saarikoski, Kalervo Järvelin, Jorma Laur...
KES
2007
Springer
15 years 3 months ago
Automated Ham Quality Classification Using Ensemble Unsupervised Mapping Models
This multidisciplinary study focuses on the application and comparison of several topology preserving mapping models upgraded with some classifier ensemble and boosting techniques ...
Bruno Baruque, Emilio Corchado, Hujun Yin, Jordi R...
ICMCS
2006
IEEE
208views Multimedia» more  ICMCS 2006»
15 years 3 months ago
An Automatic Classification System Applied in Medical Images
In this paper, a multi-class classification system is developed for medical images. We have mainly explored ways to use different image features, and compared two classifiers: Pri...
Bo Qiu, Chang Xu, Qi Tian