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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 2022
Following from understandable concerns about costs of legal services, coupled with the need to ensure greater access to justice for citizens, it comes as no surprise that the number of Self-Represented Litigants, or SRLs, has been on the rise. But the ever-increasing presence of SRLs creates a...
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Spring 2021
This thesis evaluated Convoultional LSTM (ConvLSTM) for frame prediction to help better understand motion in neural networks. Three different neural networks were implemented and trained. The three networks included, the original ConvLSTM paper by Shi et al. [35], the Spatio-Temporal network by...
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Spring 2010
Variations between the software environments(e.g., installed applications, versions of libraries) on different high-performance computing (HPC) systems lead to a heterogeneity problem. Therefore, we design an optimized, homogeneous virtual machine (VM) called a virtual application appliance...
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Spring 2020
The human vision system has an effective mechanism for retrieving and localizing the most important information from visual scenes. In computer vision,Salient Object Detection (SOD) algorithms aim at modeling this mechanism by extracting or segmenting these salient targets from given images or...
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Fall 2015
In today's world robots work well in structured environments, where they complete tasks autonomously and accurately. This is evident from industrial robotics. However, in unstructured and dynamic environments such as for instance homes, hospitals or areas affected by disasters, robots are still...