The nature of statistical learning theory
The nature of statistical learning theory
Boosting in the limit: maximizing the margin of learned ensembles
AAAI '98/IAAI '98 Proceedings of the fifteenth national/tenth conference on Artificial intelligence/Innovative applications of artificial intelligence
Support vector machine active learning for image retrieval
MULTIMEDIA '01 Proceedings of the ninth ACM international conference on Multimedia
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Improved Pairwise Coupling Classification with Correcting Classifiers
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Boosting the margin: A new explanation for the effectiveness of voting methods
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Transductive Inference for Text Classification using Support Vector Machines
ICML '99 Proceedings of the Sixteenth International Conference on Machine Learning
Support Vector Machine Active Learning with Application sto Text Classification
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Toward Perception-Based Image Retrieval
CBAIVL '00 Proceedings of the IEEE Workshop on Content-based Access of Image and Video Libraries (CBAIVL'00)
Solving multiclass learning problems via error-correcting output codes
Journal of Artificial Intelligence Research
Support vector machines for histogram-based image classification
IEEE Transactions on Neural Networks
Multi-Class SVM Classifier Based on Pairwise Coupling
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
The Truth about Corel - Evaluation in Image Retrieval
CIVR '02 Proceedings of the International Conference on Image and Video Retrieval
Multimodal fusion using learned text concepts for image categorization
MULTIMEDIA '06 Proceedings of the 14th annual ACM international conference on Multimedia
Adapting Support Vector Machines for F-term-based Classification of Patents
ACM Transactions on Asian Language Information Processing (TALIP)
Automatic Image Annotation Using a Visual Dictionary Based on Reliable Image Segmentation
Adaptive Multimedial Retrieval: Retrieval, User, and Semantics
Biometrics-based identifiers for digital identity management
Proceedings of the 9th Symposium on Identity and Trust on the Internet
Image annotation for adaptive enhancement of uncalibrated color images
VISUAL'05 Proceedings of the 8th international conference on Visual Information and Information Systems
Automatic face recognition by support vector machines
IWCIA'04 Proceedings of the 10th international conference on Combinatorial Image Analysis
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In this paper we study how Support Vector Machines (SVMs) can be applied to image classification. To enhance classification accuracy, we normalize SVM pairwise classification results. From empirical study on a fifteen-category diversified image set, we show that combining pairwise SVMs and error reduction is an effective approach from image classification. This study is a critical step for our on-going effort on the development of a comprehensive approach, closely adapted to SVMs, to image classification.