2026-09-19T11:23:02Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/81113 2023-07-11 col_2142_5131 col_2142_8888 com_2142_5130 com_2142_8887 com_2142_234

U of I Only 2008 2008 Therefore, this work is concerned with the design of fast, robust graphical models capable of unsupervised performance. The validity, effectiveness, and potential uses of the proposed approaches are verified with experiments that use real video sequences in several important applications, such as stabilization, layering, video surveillance, clustering and light modeling. Made available in DSpace on 2015-09-25T20:09:37Z (GMT). No. of bitstreams: 2 license.txt: 4848 bytes, checksum: 96035ab3f5e1c23cc7138a224ce498bd (MD5) 3347397.pdf: 4409605 bytes, checksum: 72b4b0b5fb9851ff633300b021602f38 (MD5) Previous issue date: 2008 Embargo set by: Seth Robbins for item 82395 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 Huang, Thomas S. Ivanovic, Aleksandar Miodrag 2015-09-25T20:09:37Z 2015-09-25T20:09:37Z 10000-01-01 83 p. Thesis (Ph.D.)--University of Illinois at Urbana-Champaign, 2008. http://hdl.handle.net/2142/81113 (MiAaPQ)AAI3347397 eng Engineering, Electronics and Electrical Graphical Models for Video Analysis text Electrical and Computer Engineering Electrical and Computer Engineering University of Illinois at Urbana-Champaign Dissertation Ph.D.