RICH AND EFFICIENT VISUAL DATA REPRESENTATION

Increasing the size of training data in many computer vision tasks has shown to be very effective. Using large scale image datasets (e.g. ImageNet) with simple learning techniques (e.g. linear classifiers) one can achieve state-of-the-art performance in object recognition compared to sophisticated learning techniques on smaller image sets. Semantic search on visual data has become very popular. There are billions of images on the internet and the number is increasing every day. Dealing with large scale image sets is intense per se. They take a significant amount of memory that makes it impossible to process the images with complex algorithms on single CPU machines. Finding an efficient image representation can be a key to attack this problem. A representation being efficient is not enough for image understanding. It should be comprehensive and rich in carrying semantic information. In this proposal we develop an approach to computing binary codes that provide a rich and efficient image representation. We demonstrate several tasks in which binary features can be very effective. We show how binary features can speed up large scale image classification. We present learning techniques to learn the binary features from supervised image set (With different types of semantic supervision; class labels, textual descriptions). We propose several problems that are very important in finding and using efficient image representation.

MEN WRITING WOMEN: “THE WOMAN QUESTION” AND MALE DISCOURSE OF IRANIAN MODERNITY"

In this dissertation I explore “The Woman Question” in the discourse of Iranian male authors. A pro-modernity group, they placed women’s issues at the heart of their discourse. This dissertation follows the trajectory of the representation of “The Woman Question” as it is reflected in the male discourse over the course of a century. It discusses the production of a literature that was anchored in the idea of reform and concerned itself with issues pertaining to women. These men challenged lifelong patriarchal notions such as veiling, polygamy, gender segregation, and arranged marriages, as well as traditional roles of women and gender relations. This study is defined under the rubrics of “The Woman Question” and “The New Woman,” which I have borrowed from the Victorian and Edwardian debates of similar issues as they provide clearer delineations. Drawing upon debates on sexuality, and gender, this dissertation illustrates the way these men championed women was both progressive and regressive. This study argues that the desire for women’s liberation was couched in male ideology of gender relations. It further illustrates that the advancement of “The Woman Question,” due to its continuous and yet gradual shifting concurrent with each author’s nuanced perception of women’s issues, went through discernible stages that I refer to as observation, causation, remedy, and confusion. The analytical framework for this project is anchored in the “why” and the “how” of the Iranian male authors’ writings on women in addition to “what” was written. This dissertation examines four narrative texts—two in prose and two in poetry—entitled: “Lankaran’s Vizier,” “The Black Shroud,” “‘Arefnameh,” and “Fetneh” written respectively by Akhundzadeh, ‘Eshqi, Iraj Mirza, and Dashti. Chapter one outlines the historical background, methodology, theoretical framework, and literature review. The following chapters examine, the advocacy for companionate marriage and romantic love, women and nationalistic cause, veiling and unveiling, and the emerging figure of the New Iranian Woman as morally depraved.