{"about":{"site":"https://codewithpapers.app","non_affiliation":"Code with Papers and Syntology are not affiliated with, endorsed by, or sponsored by Papers with Code, Meta, or the pwc-archive mirror.","licence":"CC BY-SA 4.0","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","attribution":"https://codewithpapers.app/attribution","modified":"archive material modified by Syntology; see the attribution page"},"url":"/paper/a-tutorial-on-independent-component-analysis","title":"A Tutorial on Independent Component Analysis","arxiv_id":"1404.2986","date":"2014-04-11","proceeding":null,"authors":["Jonathon Shlens"],"abstract":"Independent component analysis (ICA) has become a standard data analysis\ntechnique applied to an array of problems in signal processing and machine\nlearning. This tutorial provides an introduction to ICA based on linear algebra\nformulating an intuition for ICA from first principles. The goal of this\ntutorial is to provide a solid foundation on this advanced topic so that one\nmight learn the motivation behind ICA, learn why and when to apply this\ntechnique and in the process gain an introduction to this exciting field of\nactive research.","url_abs":"http://arxiv.org/abs/1404.2986v1","url_pdf":"http://arxiv.org/pdf/1404.2986v1.pdf","source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28","licence_url":"https://creativecommons.org/licenses/by-sa/4.0/legalcode","row_kind":"abstracts"},"code_links":[{"paper_slug":"a-tutorial-on-independent-component-analysis","repo_url":"https://github.com/VU-BEAM-Lab/ADMIRE","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"a-tutorial-on-independent-component-analysis","repo_url":"https://github.com/bhaskar-agrawal/Independent-component-analysis","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"a-tutorial-on-independent-component-analysis","repo_url":"https://github.com/petteriTeikari/mixedImageSeparation","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"machine-learning","task_name":"BIG-bench Machine Learning"}],"methods":[{"method_slug":"ica","method_name":"ICA"}],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}