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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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Fall 2020
High stress levels and depression are commonly observed in hospitalized patients, which may negatively impact them on recovery after surgery. Sound therapy has been widely used for its effectiveness in increasing relaxation and reducing stress levels, and one could also fine-tune music features...
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Southern Michif SoundHunters: A collaborative process of re-purposing an Indigenous language learning technology
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Many of the Indigenous languages around the world and in Canada are endangered. Furthermore, many of these languages are low-resource and suffer from a lack of language-learning resources and technology that facilitate language revitalization. To help address this problem, we created the...
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Spring 2022
In this thesis, we investigate the use of single-image depth prediction from convolutional neural networks (CNNs) in sparse and dense monocular visual simultaneous localization and mapping (SLAM) problems. Mainly, we are interested in solving three problems: (1) data association, (2) dense...
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Fall 2019
In this thesis, we investigate sparse representations in reinforcement learning. We begin by discussing catastrophic interference in reinforcement learning with function approximation, and empirically investigating difficulties of online reinforcement learning in both policy evaluation and...
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Spring 2024
Pattern recognition aims to differentiate patterns and regularities across diverse data types. Pattern recognition can identify unfamiliar objects, localize objects from various perspectives or resolutions, and infer patterns even when they are partially occluded. The ubiquity of sensors in...