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Skip to Search Results- 8Unsupervised Learning
- 3Machine Learning
- 2Anomaly Detection
- 2Deep Learning
- 2Image Processing
- 2Image Restoration
- 1Hejazizo, Ali
- 1Mostafa, Ahmed M
- 1Mukherjee,Subhayan
- 1Sheikhjafari, Ameneh
- 1Silva, Victor
- 1Sun, Xinyao
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Fall 2019
Nowadays, the volume of collected data and the size of datasets raise various challenges in the field of data mining. One of such challenges is to, given a dataset, monitor a set of data points and its changes over a period of time. Previously, this monitoring has been done using pattern...
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Spring 2021
Paraphrasing involves changing the expression of a sentence and rewording it to inform the same information as the original sentence and can occur at word-level, phrase-level, or sentence-level. Paraphrasing task has been attracting attention in recent years as several natural language processing...
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Fall 2017
Network connectivity is an indispensable component of any computer related activities. Any computer-like machine is connected to some kind of a network, which is further connected to another computer network. Technological advances allow users to connect any devices and use multiple applications....
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Fall 2022
Deformable registration of cardiac magnetic resonance imaging (MRI) is one of the crucial tasks in medical image analysis. It aims to find the unique transformation between images taken from the same scene at different times, from different views, and by different imaging modalities such as MRI...
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Fall 2024
This thesis delves into the advancements in visual anomaly detection (AD), a challenging task in identifying outliers in images such as defects and lesions, which is crucial in many applications including medical diagnosis and industrial manufacturing. This thesis addresses two main challenges:...
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Fall 2022
The objective of signal decomposition is to extract and separate distinct signal components from a composite signal. Signal decomposition has been studied in many applications, such as image, video, audio, and speech signals. This thesis focuses on the category of signal decomposition on...
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Scalable Solutions to Image Abnormality Detection and Restoration using Limited Contextual Information
DownloadFall 2020
Detecting and interpreting image abnormalities and restoring images are essential to many processing pipelines in diverse fields. Challenges involved include randomness and unstructured nature of image artefacts (from signal processing perspective) and performance constraints imposed by...
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Fall 2018
This thesis seeks to contribute to the ongoing research on opinion mining. The contributions are related to the development of newly conceived models for discovery of the viewpoints, and the reasons supporting them, from various polarized contentious texts found in surveys' responses, debate...