Bradley M. Whitaker — accepted AI-conference papers

2023

Dictionary Learning on Graph Data with Weisfieler-Lehman Sub-Tree Kernel and Ksvd

Kaveen Liyanage, Reese Pearsall, Clemente Izurieta, Bradley M. Whitaker

ICASSP 2023accepted

Graph representation has gained wide popularity as a data representation method in many applications. Graph embedding methods convert graphs to a vector representation and are an important part of a data processing pipeline. In this paper, we utilize sparse dictionary learning techniques as a graph…

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2018

Using Block Coordinate Descent to Learn Sparse Coding Dictionaries with a Matrix Norm Update

Bradley M. Whitaker, David V. Anderson

ICASSP 2018accepted

Researchers have recently examined a modified approach to sparse coding that encourages dictionaries to learn anomalous features. This is done by incorporating the matrix I-norm, or l1,∞ mixed matrix norm, into the dictionary update portion of a sparse coding algorithm. However, solving a matrix nor…

Cited by 0 Source ↗Scholar ↗