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Now showing items 1-10 of 12

Protocol Support for Adaptive Streaming Media

Hasan, Syed Faisal (Thesis, Doctor of Philosophy, 2011)

The Internet has already become a platform for multimedia rich communication, collaboration and entertaining applications. A majority of these applications are based on a technology known as audio-video streaming. Streaming ...
Catastrophic Forgetting in Reinforcement-Learning Environments

Cahill, Andy (Thesis, Master of Science, 2011)

Reinforcement learning (RL) problems are a fundamental part of machine learning theory, and neural networks are one of the best known and most successful general tools for solving machine learning problems. Despite this, ...
Click Logs as a Source of Data for Evaluating the Quality of Hypertext

Alexander, David M. (Thesis, Master of Science, 2011)

The automatic generation of useful hyperlinks has been a topic of interest in the field of information retrieval for several years, but no existing method for evaluating the quality of the generated hyperlinks has yet been ...
Some neuro-computational investigations into the reviewing of object-files

Liddle, Michael David (Thesis, Doctor of Philosophy, 2010)

When a person attends to an object, a temporary working memory representation is created for it, speciﬁc to that individual “token” object. This differs from more general accumulated memories for “types” of objects. Kahneman, ...
Human Face Detection with Support Vector Machines

Kukenys, Ignas (Thesis, Doctor of Philosophy, 2010)

The computer vision problem of face detection has over the years become a common high-requirements benchmark for machine learning methods. In the last decade, highly efficient face detection systems have been developed ...
The New User Problem in Collaborative Filtering

Crane, Matthew Stephen (Thesis, Master of Science, 2011)

The new user problem is a problem that all collaborative filtering systems will face. How do we make recommendations when we do not know what the user likes? This thesis provides an overview of collaborative filtering ...
Physics-Based Simulation of Canine Gait

Visser, Robertus Martinus (Thesis, Doctor of Philosophy, 2011)

For most animals, locomotion is essential for survival, and it is advantageous to do this efficiently and with minimal neural control. Research has shown that efficient walking is possible without control, resulting purely ...
Deep architectures and classification by intermediary transformations

Szymanski, Lech (Thesis, Doctor of Philosophy, 2012)

With the development of deep belief nets, the empirical evidence supporting a link between deep architecture neural networks and generalisation with respect to classification has been mounting. An analytical proof of this ...
Design and Implementation of an Efficient and Scalable Software Distributed Shared Memory System

Yu, Byung-Hyun (Thesis, Doctor of Philosophy, 2012)

This thesis presents the design and implementation of our novel hybrid software DSM system. We call our system hybrid home-based EAC (HHEAC) since the system implements our novel exclusive access consistency model (EAC) ...
A Statistical Model of Error Correction for Computer Assisted Language Learning Systems

Basiron, Halizah (Thesis, Doctor of Philosophy, 2012)

This thesis presents a study in the area of computer assisted language learning systems. The study focusses on the topic of automatic correction of student errors. In the thesis, I will describe a novel statistical model ...