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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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Spring 2013
Software development is an inherently team-based activity, and many software-engineering courses are structured around team projects, in order to provide students with an authentic learning experience. In these courses, student developers define, share and manage their tasks, relying on...
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Fall 2018
Domain-specific knowledge plays a significant role in the success of many Monte Carlo Tree Search (MCTS) programs. The details of how knowledge affects MCTS are still not well understood. In this thesis, we focus on identifying the effects of different types of knowledge on the behaviour of the...
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Spring 2024
In recent years, significant strides in optimal bidirectional heuristic search (Bi-HS) have deepened our theoretical understanding and boosted performance. Yet, algorithms for Bi-HS in unbounded suboptimal scenarios remains largely unexplored. Despite leveraging front-to-end (F2E) and...
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Anisotropic Geodesic Filter for Speckle Noise Reduction and Edge Preservation in 2D and 3D Echocardiography
DownloadFall 2018
It is a challenge today for medical practitioners and manufacturers to improve ultrasound image quality as the technology has reached its physical limits. Ultrasound images are a great help for non-invasive diagnostics but suffer from a wide variety of artifacts such as shadowing, limited field...
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Spring 2016
While the World Wide Web has always been treated as an immense source of data, most information it provides is usually deemed unstructured and sometimes ambiguous, which in turn makes it unreliable. But the web also contains a relatively large number of structured data in the form of tables,...
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Spring 2016
With the rapid development in visual sensors such as monocular vision, appearance-based robot simultaneous localization and mapping (SLAM) has become an open research topic in robotics. In appearance SLAM, a robot uses the visual appearance of locations (i.e., the images) acquired along its route...
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Spring 2012
My thesis focuses on automatic parameter selection for euclidean distance version of Locality Sensitive Hashing (LSH) and solving visual loop closure detection by using LSH. LSH is a class of functions for probabilistic nearest neighbor search. Although some work has been done for parameter...