Search
Skip to Search Results- 2Abdi Oskouie, Mina
- 2Birkbeck, Neil Aylon Charles
- 2Cai, Zhipeng
- 2Chen, Jiyang
- 2Chowdhury, Md Solimul
- 2Chubak, Pirooz
- 83Machine Learning
- 76Reinforcement Learning
- 42Artificial Intelligence
- 37Machine learning
- 24Natural Language Processing
- 23reinforcement learning
-
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...
-
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...
-
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...
-
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...