Research on Massive Image Classification Method Based on Parallel Hybrid Classifier Algorithm
Abstract
References
Index Terms
- Research on Massive Image Classification Method Based on Parallel Hybrid Classifier Algorithm
Recommendations
The Naïve Bayesian Classifier Learning Algorithm Based on Adaboost and Parameter Expectations
CSO '10: Proceedings of the 2010 Third International Joint Conference on Computational Science and Optimization - Volume 02Naïve Bayesian classifier is a simple classification method based on Bayes statistics, which is one of the most popular classifiers and has been successfully applied to many fields. To improve the generalization ability of the naïve Bayesian classifier, ...
Adaboost with SVM-based classifier for the classification of brain motor imagery tasks
UAHCI'11: Proceedings of the 6th international conference on Universal access in human-computer interaction: users diversity - Volume Part IIThe Adaboost with SVM-based component classifier is generally considered to break the Boosting principle for the difficulty in training of SVM and have imbalance between the diversity and accuracy over basic SVM classifiers. The Adaboost classifier in ...
AdaBoost classifiers for pecan defect classification
Highlights The performance of AdaBoost algorithms were compared with support vector machine and Bayesian classifiers for pecan defect classification. AdaBoost classifiers took least time and gave best classification accuracy. AdaBoost classifiers ...
Comments
Information & Contributors
Information
Published In

In-Cooperation
- Xi'an Jiaotong-Liverpool University: Xi'an Jiaotong-Liverpool University
- City University of Hong Kong: City University of Hong Kong
- Guangdong University of Technology: Guangdong University of Technology
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 44Total Downloads
- Downloads (Last 12 months)1
- Downloads (Last 6 weeks)0
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign in