Date of Award

Spring 2017

Document Type

Dissertation

Degree Name

Doctor of Philosophy in Computing Sciences - (Ph.D.)

Department

Computer Science

First Advisor

Chengjun Liu

Second Advisor

James Geller

Third Advisor

Ali Mili

Fourth Advisor

Taro Narahara

Fifth Advisor

Zhi Wei

Abstract

Visual recognition is one of the most difficult and prevailing problems in computer vision and pattern recognition due to the challenges in understanding the semantics and contents of digital images. Two major components of a visual recognition system are discriminatory feature representation and efficient and accurate pattern classification. This dissertation therefore focuses on developing new learning methods for visual recognition.

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