{"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/segmentation-of-subspaces-in-sequential-data","title":"Segmentation of Subspaces in Sequential Data","arxiv_id":"1504.04090","date":"2015-04-16","proceeding":null,"authors":["Stephen Tierney","Yi Guo","Junbin Gao"],"abstract":"We propose Ordered Subspace Clustering (OSC) to segment data drawn from a\nsequentially ordered union of subspaces. Similar to Sparse Subspace Clustering\n(SSC) we formulate the problem as one of finding a sparse representation but\ninclude an additional penalty term to take care of sequential data. We test our\nmethod on data drawn from infrared hyper spectral, video and motion capture\ndata. Experiments show that our method, OSC, outperforms the state of the art\nmethods: Spatial Subspace Clustering (SpatSC), Low-Rank Representation (LRR)\nand SSC.","url_abs":"http://arxiv.org/abs/1504.04090v1","url_pdf":"http://arxiv.org/pdf/1504.04090v1.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":"segmentation-of-subspaces-in-sequential-data","repo_url":"https://github.com/sjtrny/SubKit","is_official":1,"mentioned_in_paper":1,"mentioned_in_github":0,"framework":"none","reach":{"status":"ok","spdx":"MIT"}}],"tasks":[{"task_slug":"clustering","task_name":"Clustering"},{"task_slug":"segmentation","task_name":"Segmentation"}],"methods":[],"datasets_introduced":[],"methods_introduced":[],"results":[],"syntology":{"atlas_url":null,"mcp":null,"developers":"https://syntology.ai/developers"},"arxiv_metadata":null,"syntology_extracted_results":null}