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Description
Title: | Object categorization using collections of parts and second order pooling features |
Author(s): | Sukumar, Pritam |
Advisor(s): | Hoiem, Derek W. |
Department / Program: | Computer Science |
Discipline: | Computer Science |
Degree Granting Institution: | University of Illinois at Urbana-Champaign |
Degree: | M.S. |
Genre: | Thesis |
Subject(s): | computer vision
machine learning object categorization |
Abstract: | 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. |
Issue Date: | 2013-08-22 |
URI: | http://hdl.handle.net/2142/45296 |
Rights Information: | Copyright 2013 Pritam Sukumar |
Date Available in IDEALS: | 2013-08-22 |
Date Deposited: | 2013-08 |
This item appears in the following Collection(s)
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Dissertations and Theses - Computer Science
Dissertations and Theses from the Dept. of Computer Science -
Graduate Dissertations and Theses at Illinois
Graduate Theses and Dissertations at Illinois