This decommissioned ERA site remains active temporarily to support our final migration steps to https://ualberta.scholaris.ca, ERA's new home. All new collections and items, including Spring 2025 theses, are at that site. For assistance, please contact erahelp@ualberta.ca.
Search
Skip to Search Results- 3Feature Extraction
- 1Artificial Intelligence
- 1Autoencoder
- 1Banding Artifact
- 1Brain Lesion Detection
- 1Computer Vision
-
Fall 2019
Data-driven approaches have been profoundly studied and successfully applied for process industries, such as in the development of inferential sensors. Among a variety of modelling techniques, the latent variable modelling approaches are widely preferred, which can learn informative features from...
-
Pattern Recognition of Time-dependent Cellular Response of Chemicals Based on Profile Shape Similarity
DownloadSpring 2014
As a potential approach to interpret Mode of Action (MoA), the shape of cellular response profiles associated with chemicals has been a key consideration. In this thesis, statistical pattern recognition methods using multiconcentration time-dependent cellular response profiles (TCRPs) are...
-
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...