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Skip to Search Results- 2Abdi Oskouie, Mina
- 2Birkbeck, Neil Aylon Charles
- 2Cai, Zhipeng
- 2Chen, Jiyang
- 2Chowdhury, Md Solimul
- 2Chubak, Pirooz
- 74Machine Learning
- 70Reinforcement Learning
- 41Artificial Intelligence
- 36Machine learning
- 22Natural Language Processing
- 22Reinforcement learning
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Shape Based Joint Detection and Tracking with Adaptive Multi-motion Model and its Application in Large Lump Detection
DownloadSpring 2012
This thesis is motivated by a practical real application, Large Lump Detection (LLD), for which we provide a complete automatic system to detect large lumps in the oil sands mining surveillance videos. To this end, we propose a solution built around three main research components, each of which...
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Fall 2012
This dissertation contributes to developing shape-guided algorithms for interactive image segmentation. Prior knowledge which describes what is expected in an image is the key to success for many challenging applications. This research takes advantage of prior knowledge in terms of shape priors,...
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Fall 2011
Virtual machine environments are becoming more common due to the increased performance of commodity hardware and the emergence of cloud computing for large scale applications. As the use of virtual machines continues to grow, performance critical applications will require efficient mechanisms to...
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Fall 2023
Learning only by direct interaction with the world can be expensive in many real world applications. In such settings, Model-based Reinforcement Learning (MBRL) methods are a promising avenue towards data-efficiency. By planning with a model, a sequential decision making agent can decrease its...
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Fall 2021
Traffic congestion is a severe problem in many cities. One way to reduce it is by optimizing traffic signal timings. Experts spend a lot of time analyzing traffic patterns to produce good handcrafted timing schedules. However, these timing schedules can be less responsive when there is a sudden...
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Simulation-based Sensor Configuration Optimization to Detect Human Activities in Smart Indoor Spaces
DownloadFall 2023
Smart indoor spaces include a network of interconnected sensors, predictive models, and actuators to sense occupants’ activities and act to improve living. These ubiquitous systems are increasingly popular due to their potential to improve energy efficiency, comfort, and safety in buildings....
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Spring 2010
General Game Playing (GGP) deals with the design of players that are able to play any discrete, deterministic, complete information games. For many games like chess, designers develop a player using a specially designed algorithm and tune all the features of the algorithm to play the game as good...