An evidential reasoning based classification algorithm and its application for face recognition with class noise

Authors:
Xiaodong Wang;F. Liu;L. C. Jiao;Zhiguo Zhou;Jingjing Yu;Bing Li;Jianrui Chen;Jiao Wu;Fanhua Shang
Affiliations:
School of Computer Science and Technology, Xidian University, Xi'an 710071, PR China and Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian ...;School of Computer Science and Technology, Xidian University, Xi'an 710071, PR China and Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian ...;Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi'an 710071, PR China;School of Computer Science and Technology, Xidian University, Xi'an 710071, PR China and Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian ...;School of Computer Science and Technology, Xidian University, Xi'an 710071, PR China and Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian ...;Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi'an 710071, PR China;Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi'an 710071, PR China;School of Computer Science and Technology, Xidian University, Xi'an 710071, PR China and Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian ...;Key Laboratory of Intelligent Perception and Image Understanding of Ministry of Education of China, Xidian University, Xi'an 710071, PR China
Venue:
Pattern Recognition
Year:
2012

Citing 40
Cited 0

Bagging predictors

Machine Learning
Discovering informative patterns and data cleaning

Advances in knowledge discovery and data mining
Automatic Classification of Single Facial Images

IEEE Transactions on Pattern Analysis and Machine Intelligence
PCA versus LDA

IEEE Transactions on Pattern Analysis and Machine Intelligence
From Few to Many: Illumination Cone Models for Face Recognition under Variable Lighting and Pose

IEEE Transactions on Pattern Analysis and Machine Intelligence
An Empirical Comparison of Pruning Methods for Decision Tree Induction

Machine Learning
Estimating a Kernel Fisher Discriminant in the Presence of Label Noise

ICML '01 Proceedings of the Eighteenth International Conference on Machine Learning
Instance Pruning Techniques

ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Clustering interval-valued proximity data using belief functions

Pattern Recognition Letters
Acquiring Linear Subspaces for Face Recognition under Variable Lighting

IEEE Transactions on Pattern Analysis and Machine Intelligence
High breakdown mixture discriminant analysis

Journal of Multivariate Analysis
Fast condensed nearest neighbor rule

ICML '05 Proceedings of the 22nd international conference on Machine learning
Class noise vs. attribute noise: a quantitative study of their impacts

Artificial Intelligence Review
Classification in the presence of class noise using a probabilistic Kernel Fisher method

Pattern Recognition
ECM: An evidential version of the fuzzy c-means algorithm

Pattern Recognition
Combining rough decisions for intelligent text mining using Dempster's rule

Artificial Intelligence Review
The combination of multiple classifiers using an evidential reasoning approach

Artificial Intelligence
Learning from partially supervised data using mixture models and belief functions

Pattern Recognition
Robust Face Recognition via Sparse Representation

IEEE Transactions on Pattern Analysis and Machine Intelligence
Online updating belief rule based system for pipeline leak detection under expert intervention

Expert Systems with Applications: An International Journal
RECM: Relational evidential c-means algorithm

Pattern Recognition Letters
Robust supervised classification with mixture models: Learning from data with uncertain labels

Pattern Recognition
A sequential learning algorithm for online constructing belief-rule-based systems

Expert Systems with Applications: An International Journal
Analysis of evidence-theoretic decision rules for pattern classification

Pattern Recognition
Representing uncertainty on set-valued variables using belief functions

Artificial Intelligence
New model for system behavior prediction based on belief rule based systems

Information Sciences: an International Journal
Reduced Reward-punishment editing for building ensembles of classifiers

Expert Systems with Applications: An International Journal
Linear Regression for Face Recognition

IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian reasoning approach based recursive algorithm for online updating belief rule based expert system of pipeline leak detection

Expert Systems with Applications: An International Journal
An evidence-theoretic k-NN rule with parameter optimization

IEEE Transactions on Systems, Man, and Cybernetics, Part C: Applications and Reviews
EVCLUS: evidential clustering of proximity data

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Classification Using Belief Functions: Relationship Between Case-Based and Model-Based Approaches

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
A neural network classifier based on Dempster-Shafer theory

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
On the evidential reasoning algorithm for multiple attribute decision analysis under uncertainty

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Belief rule-base inference methodology using the evidential reasoning Approach-RIMER

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
The condensed nearest neighbor rule (Corresp.)

IEEE Transactions on Information Theory
The reduced nearest neighbor rule (Corresp.)

IEEE Transactions on Information Theory
Nosing Around the Neighborhood: A New System Structure and Classification Rule for Recognition in Partially Exposed Environments

IEEE Transactions on Pattern Analysis and Machine Intelligence
Face recognition using the nearest feature line method

IEEE Transactions on Neural Networks
Online Updating Belief-Rule-Base Using the RIMER Approach

IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans

Quantified Score

Hi-index	0.01

Visualization

Abstract

For classification problems, in practice, real-world data may suffer from two types of noise, attribute noise and class noise. It is the key for improving recognition performance to remove as much of their adverse effects as possible. In this paper, a formalism algorithm is proposed for classification problems with class noise, which is more challenging than those with attribute noise. The proposed formalism algorithm is based on evidential reasoning theory which is a powerful tool to deal with uncertain information in multiple attribute decision analysis and many other areas. Thus, it may be more effective alternative to handle noisy label information. And then a specific algorithm-Evidential Reasoning based Classification algorithm (ERC) is derived to recognize human faces under class noise conditions. The proposed ERC algorithm is extensively evaluated on five publicly available face databases with class noise and yields good performance.