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- 3Convolutional Neural Networks
- 2Medical Imaging
- 13D Point Cloud
- 1Ambient-Assistive Living
- 1Chromacoding
- 1Arango Moreno, Camilo
- 1Chen,Feng
- 1Fatemi Pour, Farnoosh
- 1Hamilton, Matthew J.
- 1Hess, Andy T
- 1Nguyen, Nhat
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Fall 2014
The need for increasingly high resolution 3D models and the cost in processing high resolution polygonal meshes have made 3D point clouds an alternative for many researchers in recent years. Considerable research has been devoted to various areas of point clouds. This thesis presents three...
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An Interactive 3D Visualization Tool to Analyze the Functionality of Convolutional Neural Networks
DownloadFall 2022
Convolutional Neural Networks have outperformed traditional image processing approaches for many image classification tasks. However, despite achieving high classification accuracy on multiple datasets, these machine learning approaches are not transparent and act more like a black box. For this...
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Spring 2016
The Smart-Condo™ project investigates how technology can be used to unobtrusively observe and support seniors to live independently in their homes longer. Sensors embedded in the environment react to the people’s daily-living activities and the recorded readings are analyzed to recognize these...
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Fall 2015
Determining the viewpoint (pose) of rigid objects in images is a classic vision problem with applications to robotic grasping, autonomous navigation, augmented reality, semantic SLAM and scene understanding in general. While most existing work is characterized by phrases such as "coarse pose...
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Fall 2016
Accurate information is the foundation of correct clinical diagnoses. Physicians are increasingly relying on new devices and tools to improve the quality of information used in their decision making. Wrong, misleading, or hard to interpret data can prevent patients from receiving proper...
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Extending Differentiable Programming to include Non-differentiable Modules using Differentiable Bypass for Combining Convolutional Neural Networks and Dynamic Programming into an End-to-end Trainable Framework
DownloadSpring 2019
Differentiable Programming is the paradigm where different functions or modules are combined into a unified pipeline with the purpose of applying end-to-end learning or optimization. A natural impediment is the non-differentiability characteristic of many modules. This thesis proposes a new way...
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Fall 2019
DevOps, which stands for Development-Operations, is an important software engineering topic that arose from the IT industry in 2009. XebiaLabs claimed that, in Google Search, DevOps is one of the hottest search terms in technology over the last five years, and continues to rise [1]. According to...
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Spring 2011
Physical simulations are in general very computationally intensive and required large and costly computing resources. Most of those simulations are rarely interactive as the link between visualization, interaction, and simulation is too slow. The recent development of parallel Graphic Processing...
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Fall 2013
This thesis considers the problem of visualizing simulations of phenomenon which span large ranges of spatial scales. These datasets tend to be extremely large presenting challenges both to human comprehension and high-performance computing. The main problems considered are how to effectively...
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Visualization of Course Requisites
Fall 2009
We present an interactive tool for browsing the requisites between courses in the University of Alberta as a case study of dependency visualization. This tool uses multiple interactive visualizations to allow the user to explore the courses' dependencies. We performed a usability study that...