{"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/hash-function-learning-via-codewords","title":"Hash Function Learning via Codewords","arxiv_id":"1508.03285","date":"2015-08-13","proceeding":null,"authors":["Yinjie Huang","Michael Georgiopoulos","Georgios C. Anagnostopoulos"],"abstract":"In this paper we introduce a novel hash learning framework that has two main\ndistinguishing features, when compared to past approaches. First, it utilizes\ncodewords in the Hamming space as ancillary means to accomplish its hash\nlearning task. These codewords, which are inferred from the data, attempt to\ncapture similarity aspects of the data's hash codes. Secondly and more\nimportantly, the same framework is capable of addressing supervised,\nunsupervised and, even, semi-supervised hash learning tasks in a natural\nmanner. A series of comparative experiments focused on content-based image\nretrieval highlights its performance advantages.","url_abs":"http://arxiv.org/abs/1508.03285v2","url_pdf":"http://arxiv.org/pdf/1508.03285v2.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":"hash-function-learning-via-codewords","repo_url":"https://github.com/yinjiehuang/StarSHL","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":null}],"tasks":[{"task_slug":"content-based-image-retrieval","task_name":"Content-Based Image Retrieval"},{"task_slug":"image-retrieval","task_name":"Image Retrieval"},{"task_slug":"retrieval","task_name":"Retrieval"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}