Now showing items 1-20 of 26

    • 3D Ground Truth Generation Using Pre-Trained Deep Neural Networks 

      Lee, Jungwook (University of Waterloo, 2019-05-24)
      Training 3D object detectors on publicly available data has been limited to small datasets due to the large amount of effort required to generate annotations. The difficulty of labeling in 3D using 2.5D sensors, such as ...
    • Adaptive Learning Algorithms for Non-stationary Data 

      Miao, Yun Qian (University of Waterloo, 2015-04-22)
      With the wide availability of large amounts of data and acute need for extracting useful information from such data, intelligent data analysis has attracted great attention and contributed to solving many practical tasks, ...
    • Anti-Patterns for Automatic Program Repairs 

      Liu, Taiyue (University of Waterloo, 2016-09-23)
      Automated program repair has been a heated topic in software engineering. In recent years, we have witnessed many successful applications such as Genprog, SPR, RSRepair, etc. Given a bug and its test suite, which includes ...
    • An Application of Secure Data Aggregation for Privacy-Preserving Machine Learning on Mobile Devices 

      Liu, Chuyi (University of Waterloo, 2018-09-21)
      Machine learning algorithms over big data have been widely used to make low-priced services better over the years, but they come with privacy as a major public concern. The European Union has made the General Data Protection ...
    • Automated Resolution Selection for Image Segmentation 

      Al-Qunaieer, Fares (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 ...
    • Automatic Recognition and Generation of Affective Movements 

      Samadani, Ali-Akbar (University of Waterloo, 2014-12-17)
      Body movements are an important non-verbal communication medium through which affective states of the demonstrator can be discerned. For machines, the capability to recognize affective expressions of their users and generate ...
    • Automating and Optimizing a Transportation Mode Classification Model for use on Smartphone Data 

      Nour, Akram (University of Waterloo, 2015-04-01)
      As transportation engineering and planning evolve from “data poor” to “data rich” practices, methods to automate the collection and translation of data to information become increasingly important. Advances in wireless ...
    • Channel-based Physical Layer Authentication 

      Pei, Chengcheng (University of Waterloo, 2014-08-01)
      The characteristics of the wireless physical layer can be exploited to complement and enhance traditional security. In this thesis, we study the channel-based physical layer authentication. The authentication problem is ...
    • Cooperative Based Software Clustering on Dependency Graphs 

      Ibrahim, Ahmed Fakhri (University of Waterloo, 2014-06-20)
      The organization of software systems into subsystems is usually based on the constructs of packages or modules and has a major impact on the maintainability of the software. However, during software evolution, the ...
    • Deep Learning and Spatial Statistics for Determining Road Surface Condition 

      Carrillo Garcia, Juan Manuel (University of Waterloo, 2019-08-28)
      Machine Learning (ML), and especially Deep Learning (DL) methods, have evolved rapidly over the last years and showed remarkable advances in research areas such as computer vision and natural language processing; however, ...
    • Deep Multi Agent Reinforcement Learning for Autonomous Driving 

      Bhalla, Sushrut (University of Waterloo, 2020-04-29)
      Deep Learning and back-propagation have been successfully used to perform centralized training with communication protocols among multiple agents in a cooperative Multi-Agent Deep Reinforcement Learning (MARL) environment. In ...
    • Discretize and Conquer: Scalable Agglomerative Clustering in Hamming Space 

      Soltani, Soheil (University of Waterloo, 2019-01-11)
      Clustering is one of the most fundamental tasks in many machine learning and information retrieval applications. Roughly speaking, the goal is to partition data instances such that similar instances end up in the same group ...
    • Fast Intra-frame Coding Algorithm for HEVC Based on TCM and Machine Learning 

      Shan, Yi (University of Waterloo, 2016-09-27)
      High Efficiency Video Coding (HEVC) is the latest video coding standard. Compared with the previous standard H.264/AVC, it can reduce the bit-rate by around 50% while maintaining the same perceptual quality. This performance ...
    • Fault Driven Supervised Tie Breaking for Test Case Prioritization 

      kudva, vinit (University of Waterloo, 2018-10-26)
      Regression test suites are an excellent tool to validate the existing functionality of an application during the development process. However, they can be large and time consuming to execute, thus making them inefficient ...
    • Greedy Representative Selection for Unsupervised Data Analysis 

      Helwa, Ahmed Khairy Farahat (University of Waterloo, 2013-01-25)
      In recent years, the advance of information and communication technologies has allowed the storage and transfer of massive amounts of data. The availability of this overwhelming amount of data stimulates a growing need to ...
    • In Search of Lost Time 

      Wu, Yan (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 ...
    • Large-Scale Traffic Flow Prediction Using Deep Learning in the Context of Smart Mobility 

      Koesdwiady, Arief (University of Waterloo, 2018-04-24)
      Designing and developing a new generation of cities around the world (termed as smart cities) is fast becoming one of the ultimate solutions to overcome cities' problems such as population growth, pollution, energy crisis, ...
    • Municipal Road Infrastructure Assessment Using Street View Images 

      Abou Chacra, David (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 ...
    • New Convolutional Neural Network Topology with Compressed Information to Enhance Accuracy for Image Classification Task 

      Jiang, Yanbing (University of Waterloo, 2019-09-23)
      Source coding and deep learning are two major branches in the field of information processing. Source coding encodes information that can be summarised with patterns into certain representation without semantic consideration. ...
    • Radon Projections as Image Descriptors for Content-Based Retrieval of Medical Images 

      Sriram, Aditya (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 ...


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