Name
Title | ||
|---|---|---|
Bayesian Classification of Cork Stoppers Using Class-Conditional Independent Component Analysis |
Abstract | ||
|---|---|---|
In this paper, a real-time application for visual inspection and classification of cork stoppers is presented. The process of cork inspection and quality grading is based on analyzing a large set of characteristics corresponding to visual features that are related to cork porosity. We have applied a set of nonparametric and parametric classification methods for comparing and evaluating their performance in this real problem. The best results have been achieved using Bayesian classification through probabilistic modeling in a high-dimensional space. In this context, it is well known that high dimensionality represents a serious problem for density estimation. We propose a class-conditional independent component analysis representation of the data that allows an accurate estimation of the data probability density function by factorizing it. The method has achieved a success of 98% of correct classification |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/TSMCC.2006.876043 | IEEE Transactions on Systems, Man, and Cybernetics, Part C |
Keywords | Field | DocType |
bayesian classification,large set,cork inspection,data probability density function,correct classification,density estimation,parametric classification method,real problem,class-conditional independent component analysis,cork stopper,accurate estimation,data structures,probabilistic model,machine vision,probability density function,visual inspection,probability,object recognition,image classification,feature extraction,data representation,conditional independence,independent component analysis | Density estimation,Naive Bayes classifier,Pattern recognition,Computer science,Feature extraction,Nonparametric statistics,Parametric statistics,Independent component analysis,Artificial intelligence,Probabilistic logic,Contextual image classification | Journal |
Volume | Issue | ISSN |
37 | 1 | 1094-6977 |
Citations | PageRank | References |
6 | 0.67 | 13 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| J. Vitria | 1 | 58 | 4.18 |
| M. Bressan | 2 | 6 | 0.67 |
| P. Radeva | 3 | 115 | 13.89 |