A decision-theoretic generalization of on-line learning and an application to boosting
Journal of Computer and System Sciences - Special issue: 26th annual ACM symposium on the theory of computing & STOC'94, May 23–25, 1994, and second annual Europe an conference on computational learning theory (EuroCOLT'95), March 13–15, 1995
The Random Subspace Method for Constructing Decision Forests
IEEE Transactions on Pattern Analysis and Machine Intelligence
Improved Boosting Algorithms Using Confidence-rated Predictions
Machine Learning - The Eleventh Annual Conference on computational Learning Theory
Improving similarity measures of histograms using smoothing projections
Pattern Recognition Letters
Automatic Linguistic Indexing of Pictures by a Statistical Modeling Approach
IEEE Transactions on Pattern Analysis and Machine Intelligence
The Journal of Machine Learning Research
Confidence-based dynamic ensemble for image annotation and semantics discovery
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
A bootstrapping approach to annotating large image collection
MIR '03 Proceedings of the 5th ACM SIGMM international workshop on Multimedia information retrieval
Image Categorization by Learning and Reasoning with Regions
The Journal of Machine Learning Research
Hybrid Genetic Algorithms for Feature Selection
IEEE Transactions on Pattern Analysis and Machine Intelligence
IEEE Transactions on Pattern Analysis and Machine Intelligence
An ensemble-driven k-NN approach to ill-posed classification problems
Pattern Recognition Letters - Special issue: Pattern recognition in remote sensing (PRRS 2004)
Feature combination using boosting
Pattern Recognition Letters
Joint Boosting Feature Selection for Robust Face Recognition
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Feature selection for ensembles applied to handwriting recognition
International Journal on Document Analysis and Recognition
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Incorporating multiple SVMs for automatic image annotation
Pattern Recognition
Multi-class pattern classification using neural networks
Pattern Recognition
A survey of content-based image retrieval with high-level semantics
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Efficient Hierarchical Parallel Genetic Algorithms using Grid computing
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Semantic categorization of digital home photo using photographic region templates
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Supervised Learning of Semantic Classes for Image Annotation and Retrieval
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Image retrieval: Ideas, influences, and trends of the new age
ACM Computing Surveys (CSUR)
Feature selection based-on genetic algorithm for image annotation
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AdaBoost Learning Based-on Sharing Features and Genetic Algorithm for Image Annotation
ICNC '08 Proceedings of the 2008 Fourth International Conference on Natural Computation - Volume 05
Feature selection for bagging of support vector machines
PRICAI'06 Proceedings of the 9th Pacific Rim international conference on Artificial intelligence
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Face localization via hierarchical CONDENSATION with fisher boosting feature selection
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
ICAPR'05 Proceedings of the Third international conference on Advances in Pattern Recognition - Volume Part I
Feature selection for automatic image annotation
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
AIRS'06 Proceedings of the Third Asia conference on Information Retrieval Technology
IEEE Transactions on Circuits and Systems for Video Technology
MPEG-7 visual shape descriptors
IEEE Transactions on Circuits and Systems for Video Technology
CBSA: content-based soft annotation for multimodal image retrieval using Bayes point machines
IEEE Transactions on Circuits and Systems for Video Technology
An Object- and User-Driven System for Semantic-Based Image Annotation and Retrieval
IEEE Transactions on Circuits and Systems for Video Technology
Adaboost classifier by artificial immune system model
MCPR'10 Proceedings of the 2nd Mexican conference on Pattern recognition: Advances in pattern recognition
Computer Vision and Image Understanding
Model and algorithm of fuzzy joint replenishment problem under credibility measure on fuzzy goal
Knowledge-Based Systems
Genetic algorithms in feature and instance selection
Knowledge-Based Systems
Human action recognition optimization based on evolutionary feature subset selection
Proceedings of the 15th annual conference on Genetic and evolutionary computation
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Image annotation can be formulated as a classification problem. Recently, Adaboost learning with feature selection has been used for creating an accurate ensemble classifier. We propose dynamic Adaboost learning with feature selection based on parallel genetic algorithm for image annotation in MPEG-7 standard. In each iteration of Adaboost learning, genetic algorithm (GA) is used to dynamically generate and optimize a set of feature subsets on which the weak classifiers are constructed, so that an ensemble member is selected. We investigate two methods of GA feature selection: a binary-coded chromosome GA feature selection method used to perform optimal feature subset selection, and a bi-coded chromosome GA feature selection method used to perform optimal-weighted feature subset selection, i.e. simultaneously perform optimal feature subset selection and corresponding optimal weight subset selection. To improve the computational efficiency of our approach, master-slave GA, a parallel program of GA, is implemented. k-nearest neighbor classifier is used as the base classifier. The experiments are performed over 2000 classified Corel images to validate the performance of the approaches.