Browsing Systems Design Engineering by Subject "Machine Learning"
Now showing items 1-7 of 7
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Automated Resolution Selection for Image Segmentation
(University of Waterloo, 2014-02-25)It is well known in image processing in general, and hence in image segmentation in particular, that computational cost increases rapidly with the number and dimensions of the images to be processed. Several fields, such ... -
In Search of Lost Time
(University of Waterloo, 2012-05-16)In Marcel Proust's most famous novel, In Search of Lost Time, a Madeleine cake elicited in him a nostalgic memory of Combray. Here we present a computational hypothesis of how such an episodic memory is represented in a ... -
Investigating Scene Understanding for Robotic Grasping: From Pose Estimation to Explainable AI
(University of Waterloo, 2023-09-22)In the rapidly evolving field of robotics, the ability to accurately grasp and manipulate objects—known as robotic grasping—is a cornerstone of autonomous operation. This capability is pivotal across a multitude of ... -
Multimodal Artificial Intelligence for Histopathology & Genomics Fusion
(University of Waterloo, 2024-01-29)The field of medical diagnostics has witnessed a transformative convergence of artificial intelligence (AI) and healthcare data, offering promising avenues for enhancing patient care and disease comprehension. However, ... -
Municipal Road Infrastructure Assessment Using Street View Images
(University of Waterloo, 2016-09-23)Road quality assessment is a crucial part in Municipalities' work to maintain their infrastructure, plan upgrades, and manage their budgets. Properly maintaining this infrastructure relies heavily on consistently monitoring ... -
Radon Projections as Image Descriptors for Content-Based Retrieval of Medical Images
(University of Waterloo, 2018-04-23)Clinical analysis and medical diagnosis of diverse diseases adopt medical imaging techniques to empower specialists to perform their tasks by visualizing internal body organs and tissues for classifying and treating diseases ... -
Weakly Supervised Learning Algorithms and an Application to Electromyography
(University of Waterloo, 2014-06-23)In the standard machine learning framework, training data is assumed to be fully supervised. However, collecting fully labelled data is not always easy. Due to cost, time, effort or other types of constraints, requiring ...