Unsupervised Learning of Categorical Segments in Image Collections

Unsupervised Learning of Categorical Segments in Image Collections

Which one comes first: segmentation or recognition? We propose a unified framework for carrying out the two simultaneously and without supervision. The framework combines a flexible probabilistic model for representing the shape and appearance of each segment, with the popular "bag of visual wo...

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Bibliographic Details
Main Author: Andreetto, Marco
Format: Others
Published: 2011
Online Access:https://thesis.library.caltech.edu/6355/1/phdthesis.pdf
Andreetto, Marco (2011) Unsupervised Learning of Categorical Segments in Image Collections. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/ZH04-VT55. https://resolver.caltech.edu/CaltechTHESIS:04262011-213152111 <https://resolver.caltech.edu/CaltechTHESIS:04262011-213152111>

Internet

https://thesis.library.caltech.edu/6355/1/phdthesis.pdf
Andreetto, Marco (2011) Unsupervised Learning of Categorical Segments in Image Collections. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/ZH04-VT55. https://resolver.caltech.edu/CaltechTHESIS:04262011-213152111 <https://resolver.caltech.edu/CaltechTHESIS:04262011-213152111>

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