2026-09-20T23:33:41Z https://www.ideals.illinois.edu/oai-pmh

oai:www.ideals.illinois.edu:2142/45296 2023-07-11 col_2142_5131 col_2142_10761 com_2142_5130 com_2142_10755 com_2142_234

Hoiem, Derek W. Sukumar, Pritam 2013-08-22T16:35:12Z 2013-08-22T16:35:12Z 2013-08 2013-08-22T16:35:12Z 2013-08 This thesis presents an investigation of the Collection of Parts Model for object categorization. Multiclass categorization is performed using the Collections of Parts model. Results using Support Vector Machines, L1 Logistic Regression and Boosted Decision Trees are presented and discussed. Methods to analyze confusion in these results are developed and results are presented. The Collections of Parts model is augmented with features from features generated by Second Order Pooling resulting in a significant improvement in performance. Item withdrawn by Mark Zulauf (zulauf@illinois.edu) on 2013-07-10T20:50:05Z Item was in collections: University of Illinois Theses & Dissertations (ID: 1) No. of bitstreams: 2 Sukumar_Pritam_thesis.zip: 9457115 bytes, checksum: 4cb77168d8f31be05133e6b07cce8d5c (MD5) Sukumar_Pritam.pdf: 934327 bytes, checksum: 0ad9ad2b5d2b8d172b3b90d7c7dc6867 (MD5) Made available in DSpace on 2013-08-22T16:35:12Z (GMT). No. of bitstreams: 3 Pritam_Sukumar.pdf: 934327 bytes, checksum: 0ad9ad2b5d2b8d172b3b90d7c7dc6867 (MD5) Sukumar_Pritam_thesis.zip: 9457115 bytes, checksum: 4cb77168d8f31be05133e6b07cce8d5c (MD5) license.txt: 4064 bytes, checksum: 8fada2727123067cb5f3acc374317c7e (MD5) http://hdl.handle.net/2142/45296 en Copyright 2013 Pritam Sukumar computer vision machine learning object categorization Object categorization using collections of parts and second order pooling features text Computer Science 1434 Computer Science 0112 University of Illinois at Urbana-Champaign Thesis M.S. MS:Computer Science -UIUC 10KS0112MS