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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 2023
Oblique decision trees use linear combinations of features in the decision nodes. Due to the non-smooth structure of decision trees, training oblique decision trees is considerably difficult as the parameters are tuned using expensive non-differentiable optimization techniques or found by...
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Spring 2017
At the core of many computer vision methods lies the question of how to represent data. Representing the data in a meaningful way, which highlights its most useful properties, can significantly affect the performance of any vision-based application. Traditional systems are heavily reliant on...
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Learning Super-Resolution of Environment Matting of Transparent Objects from a Single Image
DownloadFall 2021
This thesis addresses the problem of super-resolution of environment matting of transparent objects. In contrast to traditional methods of environment matting of transparent objects, which often require a large number of input images or complex camera setups, recent approaches using convolutional...
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Fall 2019
Modern residential buildings are complex cyber-physical systems housing energy systems with numerous sensors and actuators. In recent years, the falling costs of battery storage and photovoltaic systems have substantially increased the number of “solar-plus-battery” installations in these...
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Spring 2023
Diffeomorphic image registration is important for medical imaging studies because of the properties like invertibility, smoothness of the transformation, and topology preservation/non-folding of the grid. Violation of these properties can lead to destruction of the neighbourhood and the...
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Spring 2016
When you ingest anything (e.g., food or medicine), your body will break down (metabolize) the compound's molecules; this process clearly affects the safety and the effectiveness of the compound. This breakdown is facilitated by certain proteins that catalyze this process. Thus it is important to...
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Fall 2021
Video object/semantic segmentation has tremendous impact on many robotics applications. Videos of manipulation tasks or driving scenes are more relevant than static images. However, the focus of current video semantic segmentation work is on learning from large-scale datasets. Deep learning...
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Learning What to Remember: Strategies for Selective External Memory in Online Reinforcement Learning Agents
DownloadSpring 2019
In realistic environments, intelligent agents must learn to integrate information from their past to inform present decisions. An agent's immediate observations are often limited, and some degree of memory is necessary to complete many everyday tasks. However, an agent cannot remember everything...