2026-09-20T09:55:02Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/80988 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

Ma, Yi Yang, Allen 2015-09-25T20:09:07Z 2015-09-25T20:09:07Z 10000-01-01 2006 2006 Algebraically, we study the properties of polynomials vanishing on a union of subspaces; and statistically, we study how to estimate these polynomials robustly from real sample sets with noise and outliers. These new methods in many ways improve and generalize extant methods for modeling or clustering mixed data. Finally, we will show results of these methods applied to computer vision and image processing. Made available in DSpace on 2015-09-25T20:09:07Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3243032.pdf: 2546606 bytes, checksum: 1b246d00cb9f46104822437d73d72026 (MD5) Previous issue date: 2006 Embargo set by: Seth Robbins for item 82270 Lift date: Forever Reason: Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs Restricted to the U of I community idenfinitely during batch ingest of legacy ETDs U of I Only 86 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2006. http://hdl.handle.net/2142/80988 (MiAaPQ)AAI3243032 eng Engineering, Electronics and Electrical Estimation of Subspace Arrangements: Its Algebra and Statistics text Electrical and Computer Engineering Electrical and Computer Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.