3 papers
cs.LG2025
Multi-Dictionary Learning for Low Rank Sparse Coding
Boya Ma, Abram Magner, Maxwell McNeil +1
Sparse dictionary coding represents signals as linear combinations of a few dictionary atoms. It has been applied to images, time series, graph signals and multi-way spatio-tempora…
cs.LG2024
Low Rank Multi-Dictionary Selection at Scale
Boya Ma, Maxwell McNeil, Abram Magner +1
The sparse dictionary coding framework represents signals as a linear combination of a few predefined dictionary atoms. It has been employed for images, time series, graph signals…
cs.LG2023
Multi-Dictionary Tensor Decomposition
Maxwell McNeil, Petko Bogdanov
Tensor decomposition methods are popular tools for analysis of multi-way datasets from social media, healthcare, spatio-temporal domains, and others. Widely adopted models such as…