About
I’m a dedicated professional with 10+ years of achievements in driving and handling…
Activity
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Dorian is exhibiting at Comic Con for the first time! And we’re off to Excel in London today! I’ve exhibited at conferences (albeit B2B) probably…
Dorian is exhibiting at Comic Con for the first time! And we’re off to Excel in London today! I’ve exhibited at conferences (albeit B2B) probably…
Liked by Alex Hall
Experience
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Education
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University of California, Berkeley
Activities and Societies: Berkeley Artificial Intelligence Research lab, machine learning, computer vision, artificial intelligence, film analysis, research, image processing, visualization, graphics.
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Activities and Societies: ACM, Student Teaching Assistant, Undergraduate Researcher (Machine Learning - "Correlation Based Non-Negative Sparse Coding", Mukherjee & Hall - To be published in 12/2013), CRA Undergraduate Research Award Nominee.
I studied computer science through at UW-Whitewater, with supplementary courses from UW-Madison. My emphases are in Computer Graphics, Artificial Intelligence, and Database Design. I also have a broad array of coursework in C++, Data Structures, Algorithms, Cryptography, Assembly, Computer Organization, OpenGL, Linear Algebra, and Web Development (Javascript, HTML, CSS, Perl, PHP, MySQL).
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Volunteer Experience
Publications
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A Tool for Computational Analysis of Narrative Film
See publicationFilm historians and filmmakers study the visual style of past films to answer research questions or gain inspiration for new projects. To help such film professionals conduct large-scale analyses of visual style in films, we present Film Grok, a computational tool for labeling and analyzing narrative films.
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Non-Negative Sparse Coding with Regularizer for Image Classification
WACV
Sparse Coding has been successfully applied to many image and object classification problems in recent years. In such tasks, the problem is commonly formulated as representing an image or signal as a sparse linear combination of dictionary elements, where such dictionary elements capture high level patterns in the data, however, relationships between the dictionary elements are generally not taken into account in such frameworks.
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Projects
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Searchable Cinematography – Netflix, Stanford, UC-Berkeley, BAIR, MSR
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Presentation on ML, AI, and Computer Vision applied to analyzing the visual style of film
Honors & Awards
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Graduate Research Fellow
National Science Foundation
Languages
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Spanish
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Organizations
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ACM
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IEEE
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SIGGRAPH
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