A training algorithm for optimal margin classifiers
COLT '92 Proceedings of the fifth annual workshop on Computational learning theory
The nature of statistical learning theory
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Machine Learning
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Support Vector Machines for 3D Object Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Advances in kernel methods: support vector learning
Advances in kernel methods: support vector learning
IEEE Transactions on Pattern Analysis and Machine Intelligence
A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Retinal vision applied to facial features detection and face authentication
Pattern Recognition Letters - In memory of Professor E.S. Gelsema
Support vector machines: relevance feedback and information retrieval
Information Processing and Management: an International Journal
Text Categorization with Suport Vector Machines: Learning with Many Relevant Features
ECML '98 Proceedings of the 10th European Conference on Machine Learning
Appearance-Based Object Recognition Using Support Vector Machines
SIBGRAPI '01 Proceedings of the 14th Brazilian Symposium on Computer Graphics and Image Processing
Training Support Vector Machines: an Application to Face Detection
CVPR '97 Proceedings of the 1997 Conference on Computer Vision and Pattern Recognition (CVPR '97)
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Learning-Based Approach to Real Time Tracking and Analysis of Faces
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Support Vector Regression and Classification Based Multi-View Face Detection and Recognition
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RATFG-RTS '99 Proceedings of the International Workshop on Recognition, Analysis, and Tracking of Faces and Gestures in Real-Time Systems
Representing and Recognizing Visual Dynamic Events with Support Vector Machines
ICIAP '99 Proceedings of the 10th International Conference on Image Analysis and Processing
Face Pose Discrimination Using Support Vector Machines (SVM)
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
Handwriting Recognition Using Local Methods for Normalization and Global Methods for Recognition
ICDAR '01 Proceedings of the Sixth International Conference on Document Analysis and Recognition
Invariant Face Detection with Support Vector Machines
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ICCV '98 Proceedings of the Sixth International Conference on Computer Vision
Distance-from-boundary as a metric for texture image retrieval
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Support vector machines for spam categorization
IEEE Transactions on Neural Networks
Mixture of experts for classification of gender, ethnic origin, and pose of human faces
IEEE Transactions on Neural Networks
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Extraction, layout analysis and classification of diagrams in PDF documents
ICDAR '03 Proceedings of the Seventh International Conference on Document Analysis and Recognition - Volume 2
CLAIRE: A modular support vector image indexing and classification system
ACM Transactions on Information Systems (TOIS)
Neighborhood Property--Based Pattern Selection for Support Vector Machines
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Dynamic classification for video stream using support vector machine
Applied Soft Computing
An Estimation of the Optimal Gaussian Kernel Parameter for Support Vector Classification
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks
A semi-supervised support vector machine based algorithm for face recognition
SMC'09 Proceedings of the 2009 IEEE international conference on Systems, Man and Cybernetics
ECM-aware cell-graph mining for bone tissue modeling and classification
Data Mining and Knowledge Discovery
Non-intrusive Detection of Driver Distraction using Machine Learning Algorithms
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Rule extraction from support vector machines: A review
Neurocomputing
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Computerized analysis of fetal heart rate signals as the predictor of neonatal acidemia
Expert Systems with Applications: An International Journal
Rule extraction from support vector machines based on consistent region covering reduction
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Information Sciences: an International Journal
Neighbors' distribution property and sample reduction for support vector machines
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In this paper, we present a comprehensive survey on applications of Support Vector Machines (SVMs) for pattern recognition. Since SVMs show good generalization performance on many real-life data and the approach is properly motivated theoretically, it has been applied to wide range of applications. This paper describes a brief introduction of SVMs and summarizes its numerous applications.