Learning Shape Segmentation Using Constrained Spectral Clustering and Probabilistic Label Transfer

Avinash Sharma; Etienne von Lavante; Radu Horaud

doi:10.1007/978-3-642-15555-0_54

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Learning Shape Segmentation Using Constrained Spectral Clustering and Probabilistic Label Transfer

Avinash Sharma Etienne von Lavante Radu Horaud

Year: 2010 Lecture notes in computer science Pages: 743-756 Publisher: Springer Science+Business Media

DOI: 10.1007/978-3-642-15555-0_54

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Keywords:

Computer science Cluster analysis Spectral clustering Probabilistic logic Artificial intelligence Segmentation Pattern recognition (psychology) Transfer of learning

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0.89

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Citation History

Topics

Image Retrieval and Classification Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Image Processing and 3D Reconstruction

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Medical Image Segmentation Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Learning Shape Segmentation Using Constrained Spectral Clustering and Probabilistic Label Transfer

Metrics

Citation History

Topics

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