Machine Learning for Joint Classification and Segmentation

DOI10.1007/978-3-319-67068-3_24OpenAlexW2788370336MaRDI QIDQ4625790

Yongxin Chen, Jeremy Lerner, Romeil Sandhu, Allen Tannenbaum

Publication date: 25 February 2019

Published in: Lecture Notes in Control and Information Sciences - Proceedings (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-319-67068-3_24

Mathematics Subject Classification ID

Machine vision and scene understanding (68T45)

Cites Work

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• An invitation to 3-D vision. From images to geometric models.
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• Level set methods and dynamic implicit surfaces
• A Geometric Approach to Joint 2D Region-Based Segmentation and 3D Pose Estimation Using a 3D Shape Prior
• Laplacian Eigenmaps for Dimensionality Reduction and Data Representation
• Hessian eigenmaps: Locally linear embedding techniques for high-dimensional data
• Differentiation Under the Integral Sign

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