Northwestern University

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Filtering by: Keyword Clustering Keyword Dimensionality Reduction Subject Computer science

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Discriminative Dimensionality Reduction using Deep Neural Networks

Description:

Deep neural networks have shown impressive performance for many applications. In this dissertation, leveraging the capabilities of neural networks for modeling the non-linearity exists in the data, we propose several models that can project data into a low dimensional, discriminative, and smooth manifold. The suggested models can transfer knowledge from...

Keyword:

Discriminative, Clustering, LIGO, and Dimensionality Reduction

Subject:

Computer science

Creator:

Bahaadini Beigy Zarandi, Sara

Owner:

Scholarly Digital Publishing

Language:

en

Date Uploaded:

02/12/2020

Date Created:

2019-01-01

Resource Type:

Dissertation

Alternate Identifier:

http://dissertations.umi.com/northwestern:14850 and etdadmin_upload_686625