학술논문
Classification With Dictionary Learning and A Distance Barrier Promoting Incoherence
Document Type
Conference
Source
2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP) Machine Learning for Signal Processing (MLSP), 2023 IEEE 33rd International Workshop on. :1-6 Sep, 2023
Subject
Language
ISSN
2161-0371
Abstract
We present a new approach to the incoherent dictionary learning problem using a barrier function that promotes incoherence. This function has a context-dependent quadratic term and a distance barrier term that can be used in both local and global structures. This strategy achieves better results in terms of error representation and incoherence of the dictionary, compared with the standard problem. We demonstrate on several datasets that this function can improve the performance of dictionaries in classification problems.