One-class support vector ensembles for image segmentation and classification

DOI10.1007/s10851-011-0304-0zbMath1255.68223OpenAlexW2027179304MaRDI QIDQ1932899

Bogusław Cyganek

Publication date: 22 January 2013

Published in: Journal of Mathematical Imaging and Vision (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10851-011-0304-0

zbMATH Keywords

kernel methodsimage segmentationensemble of classifiersone-class support vector machine

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10)

Related Items (3)

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Uses Software

• UCI-ml
• LIBSVM
• BSDS

Cites Work

• Benchmarking least squares support vector machine classifiers
• Support vector data description
• Algorithm of designing compound recognition system on the basis of combining classifiers with simultaneous splitting feature space into competence areas
• Soft clustering using weighted one-class support vector machines
• Alternative c-means clustering algorithms
• A survey of kernel and spectral methods for clustering
• Thevenin decomposition and large-scale optimization
• An Introduction to 3D Computer Vision Techniques and Algorithms
• Combining Pattern Classifiers
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