Anomaly detection in images is rapidly emerging as a critical field in both industrial quality control and medical diagnostics. Leveraging deep learning techniques, researchers have developed methods ...

A dissertation submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy In Computer Science and Engineering. This dissertation focuses on improving anomaly detection ...

Anomaly detection is one of the more difficult and underserved operational areas in the asset-servicing sector of financial institutions. Broadly speaking, a true anomaly is one that deviates from the ...