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Full-Text Articles in Physical Sciences and Mathematics
The Role Of Prototype Learning In Hierarchical Models Of Vision, Michael David Thomure
The Role Of Prototype Learning In Hierarchical Models Of Vision, Michael David Thomure
Dissertations and Theses
I conduct a study of learning in HMAX-like models, which are hierarchical models of visual processing in biological vision systems. Such models compute a new representation for an image based on the similarity of image sub-parts to a number of specific patterns, called prototypes. Despite being a central piece of the overall model, the issue of choosing the best prototypes for a given task is still an open problem. I study this problem, and consider the best way to increase task performance while decreasing the computational costs of the model. This work broadens our understanding of HMAX and related hierarchical …
Learning General Features From Images And Audio With Stacked Denoising Autoencoders, Nathaniel H. Nifong
Learning General Features From Images And Audio With Stacked Denoising Autoencoders, Nathaniel H. Nifong
Dissertations and Theses
One of the most impressive qualities of the brain is its neuro-plasticity. The neocortex has roughly the same structure throughout its whole surface, yet it is involved in a variety of different tasks from vision to motor control, and regions which once performed one task can learn to perform another. Machine learning algorithms which aim to be plausible models of the neocortex should also display this plasticity. One such candidate is the stacked denoising autoencoder (SDA). SDA's have shown promising results in the field of machine perception where they have been used to learn abstract features from unlabeled data. In …