Work

Unsupervised Learning of Latent Structure from Linear and Nonlinear Measurements

Year: 2019

Type: dissertation

Abstract: University of Minnesota Ph.D. dissertation. June 2019. Major: Electrical Engineering. Advisor: Nicholas Sidiropoulos. 1 computer file (PDF); xii, 118 pages.

Source: University of Minnesota Digital Conservancy (University of Minnesota)

Author: Bo Yang

Language: English

Topic: Sparse and Compressive Sensing Techniques

Subfield: Signal Processing

Field: Computer Science

Domain: Physical Sciences

Open Access status: green

OpenAlex ID: W2969305086

Cites: 110

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Related to: 10