Browsing University of Waterloo by Subject "supervised learning"
Now showing items 1-4 of 4
-
Anomaly Detection in Textured Surfaces
(University of Waterloo, 2019-12-17)Detecting anomalies in textured surfaces is an important and interesting problem that has practical applications in industrial defect detection and infrastructure asset management with a lot of potential financial benefits. ... -
BotChase: Graph-Based Bot Detection Using Machine Learning
(University of Waterloo, 2019-05-21)Bot detection using machine learning (ML), with network flow-level features, has been extensively studied in the literature. However, existing flow-based approaches typically incur a high computational overhead and do not ... -
Decay Makes Supervised Predictive Coding Generative
(University of Waterloo, 2020-08-19)Predictive Coding is a hierarchical model of neural computation that approximates backpropagation using only local computations and local learning rules. An important aspect of Predictive Coding is the presence of feedback ... -
Kernelized Supervised Dictionary Learning
(University of Waterloo, 2013-04-25)The representation of a signal using a learned dictionary instead of predefined operators, such as wavelets, has led to state-of-the-art results in various applications such as denoising, texture analysis, and face ...