{"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/multiple-instance-dictionary-learning-using","title":"Multiple Instance Dictionary Learning using Functions of Multiple Instances","arxiv_id":"1511.02825","date":"2015-11-09","proceeding":null,"authors":["Changzhe Jiao","Alina Zare"],"abstract":"A multiple instance dictionary learning method using functions of multiple\ninstances (DL-FUMI) is proposed to address target detection and two-class\nclassification problems with inaccurate training labels. Given inaccurate\ntraining labels, DL-FUMI learns a set of target dictionary atoms that describe\nthe most distinctive and representative features of the true positive class as\nwell as a set of nontarget dictionary atoms that account for the shared\ninformation found in both the positive and negative instances. Experimental\nresults show that the estimated target dictionary atoms found by DL-FUMI are\nmore representative prototypes and identify better discriminative features of\nthe true positive class than existing methods in the literature. DL-FUMI is\nshown to have significantly better performance on several target detection and\nclassification problems as compared to other multiple instance learning (MIL)\ndictionary learning algorithms on a variety of MIL problems.","url_abs":"http://arxiv.org/abs/1511.02825v3","url_pdf":"http://arxiv.org/pdf/1511.02825v3.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":"multiple-instance-dictionary-learning-using","repo_url":"https://github.com/TigerSense/FUMI","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":1,"framework":"none","reach":null},{"paper_slug":"multiple-instance-dictionary-learning-using","repo_url":"https://github.com/GatorSense/FUMI","is_official":0,"mentioned_in_paper":0,"mentioned_in_github":1,"framework":"none","reach":null}],"tasks":[{"task_slug":"dictionary-learning","task_name":"Dictionary Learning"},{"task_slug":"classification","task_name":"General Classification"},{"task_slug":"multiple-instance-learning","task_name":"Multiple Instance Learning"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}