Practical methods of optimization; (2nd ed.)
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Soft computing: fuzzy logic, neural networks, and distributed artificial intelligence
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Fast training of support vector machines using sequential minimal optimization
Advances in kernel methods
Least Squares Support Vector Machine Classifiers
Neural Processing Letters
An introduction to support Vector Machines: and other kernel-based learning methods
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AI Game Programming Wisdom
Computer Vision: A Modern Approach
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A Tutorial on Support Vector Machines for Pattern Recognition
Data Mining and Knowledge Discovery
Kerneltron: Support Vector `Machine' in Silicon
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
Applications of Support Vector Machines for Pattern Recognition: A Survey
SVM '02 Proceedings of the First International Workshop on Pattern Recognition with Support Vector Machines
Human Tracking Using Distributed Vision Systems
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
People Recognition and Pose Estimation in Image Sequences
IJCNN '00 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks (IJCNN'00)-Volume 4 - Volume 4
Properties of Support Vector Machines
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Pattern Classification (2nd Edition)
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A Real-Time Rodent Tracking System for Both Light and Dark Cycle Behavior Analysis
WACV-MOTION '05 Proceedings of the Seventh IEEE Workshops on Application of Computer Vision (WACV/MOTION'05) - Volume 1 - Volume 01
Incremental online PCA for automatic motion learning of eigen behaviour
International Journal of Intelligent Systems Technologies and Applications
A comparison of methods for multiclass support vector machines
IEEE Transactions on Neural Networks
Online hybrid traffic classifier for Peer-to-Peer systems based on network processors
Applied Soft Computing
Recognition of Western style musical genres using machine learning techniques
Expert Systems with Applications: An International Journal
Measuring financial risk with generalized asymmetric least squares regression
Applied Soft Computing
ICAIS'11 Proceedings of the Second international conference on Adaptive and intelligent systems
An agent model for incremental rough set-based rule induction in customer relationship management
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part I
Computer Methods and Programs in Biomedicine
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A dynamic classification using the support vector machine (SVM) technique is presented in this paper as a new 'incremental' framework for multiple-classifying video stream data. The contribution of this study is the derivation of a unique, fast and simple to implement technique that allows multi-classification of behavioral motions based on an adaptation of the least-square SVM (LS-SVM) formulation. This dynamic approach leads to an extension of SVM beyond its current static image-based learning capabilities. The proposed incremental multi-classification method is applied to video stream data, which consists of an articulated humanoid model monitored by a surveillance camera. The initial supervised off-line learning phase is followed by a visual behavior data acquisition and then an incremental learning phase. The resulting error rate and the confidence level for the proposed technique demonstrate its validity and merits in articulated motion learning. Furthermore, the enabled online learning allows an adaptive domain knowledge insertion and provides the advantage of reducing both the model training time and the information storage requirements of the overall system which are both essential for dynamic soft computing applications.