Now showing items 1457-1476 of 2994

    • Learning Quantum States Without Entangled Measurements 

      Lowe, Angus (University of Waterloo, 2021-10-22)
      How many samples of a quantum state are required to learn a complete description of it? As we will see in this thesis, the fine-grained answer depends on the measurements available to the learner, but in general it is at ...
    • Learning Sample-Based Monte Carlo Denoising from Noisy Training Data 

      Tinits, Andrew (University of Waterloo, 2022-02-15)
      Monte Carlo rendering allows for the production of high-quality photorealistic images of 3D scenes. However, producing noise-free images can take a considerable amount of compute resources. To lessen this burden and speed ...
    • Learning Sparse Orthogonal Wavelet Filters 

      Recoskie, Daniel (University of Waterloo, 2018-10-12)
      The wavelet transform is a well studied and understood analysis technique used in signal processing. In wavelet analysis, signals are represented by a sum of self-similar wavelet and scaling functions. Typically, the wavelet ...
    • Learning to Rank in the Age of Muppets 

      Hu, Chengcheng (University of Waterloo, 2022-04-26)
      The emergence of BERT in 2018 has brought a huge boon to retrieval effectiveness in many tasks across various domains and led the recent research landscape of IR to transformer-related technologies. While researchers ...
    • Learning Trustworthy Web Sources to Derive Correct Answers and Reduce Health Misinformation in Search 

      Zhang, Dake; Vakili Tahami, Amir; Abualsaud, Mustafa; Smucker, Mark (ACM, 2022-07)
      When searching the web for answers to health questions, people can make incorrect decisions that have a negative effect on their lives if the search results contain misinformation. To reduce health misinformation in search ...
    • Learning with non-Standard Supervision 

      Urner, Ruth (University of Waterloo, 2013-09-26)
      Machine learning has enjoyed astounding practical success in a wide range of applications in recent years-practical success that often hurries ahead of our theoretical understanding. The standard framework for ...
    • Learning-Free Methods for Goal Conditioned Reinforcement Learning from Images 

      Van de Kleut, Alexander (University of Waterloo, 2021-04-27)
      We are interested in training goal-conditioned reinforcement learning agents to reach arbitrary goals specified as images. In order to make our agent fully general, we provide the agent with only images of the environment ...
    • Lehmer Numbers with at Least 2 Primitive Divisors 

      Juricevic, Robert (University of Waterloo, 2007-10-24)
      In 1878, Lucas \cite{lucas} investigated the sequences $(\ell_n)_{n=0}^\infty$ where $$\ell_n=\frac{\alpha^n-\beta^n}{\alpha-\beta},$$ $\alpha \beta$ and $\alpha+\beta$ are coprime integers, and where $\beta/\alpha$ is ...
    • Less is More: Restricted Representations for Better Interpretability and Generalizability 

      Jiang, Zhiying (University of Waterloo, 2023-08-22)
      Deep neural networks are prevalent in supervised learning for large amounts of tasks such as image classification, machine translation and even scientific discovery. Their success is often at the sacrifice of interpretability ...
    • Leveraged Plans for Measurement System Assessment 

      Browne, Ryan (University of Waterloo, 2009-08-20)
      In manufacturing, measurement systems are used to control processes and inspect parts with the goal of producing high quality product for the customer. Modern Quality Systems require the periodic assessment of key measurement ...
    • Leveraging Asymmetry and Interdependence to Enhance Social Connectedness in Cooperative Digital Games 

      Harris, John Joseph (University of Waterloo, 2019-05-24)
      Play is a fundamental component of human development and is an important means of forming healthy relationships throughout life. Research has shown that the types of digital games people play, how they play them, and who ...
    • Leveraging Commodity Photonics to Reduce Datacenter Network Latency 

      Liu, Yunpeng (University of Waterloo, 2014-05-22)
      Most datacenter network (DCN) designs focus on maximizing bisection bandwidth rather than minimizing server-to-server latency. They are, therefore, ill-suited for important latency-sensitive applications, such as high ...
    • Leveraging Software-Defined Networking to Improve Distributed Transaction Processing Performance 

      Cui, Xu (University of Waterloo, 2015-10-28)
      Recently, software-defined networking (SDN) has been transforming network technologies while NoSQL database systems are on the rise to become the de facto database systems for cloud technologies. Despite the promising ...
    • Leveraging Software-Defined Networking to Mask Partial Network Partitions 

      Alkhatib, Basil (University of Waterloo, 2021-08-11)
      We present an extensive study focused on partial network partitioning. Partial network partitions disrupt the communication between some but not all nodes in a cluster. First, we conduct a comprehensive study of system ...
    • Leveraging Watermarks to Improve Performance of Streaming Systems 

      Farhat, Omar (University of Waterloo, 2020-05-28)
      Modern stream processing engines (SPEs) process large volumes of events propagated at high velocity through multiple queries. By continuously receiving watermarks, which are marker events injected into the stream to signify ...
    • Lexical Affinities and Language Applications 

      Terra, Egidio (University of Waterloo, 2004)
      Understanding interactions among words is fundamental for natural language applications. However, many statistical NLP methods still ignore this important characteristic of language. For example, information retrieval ...
    • Life History Analysis with Response-Dependent Observation 

      Zhong, Yujie (University of Waterloo, 2015-05-14)
      This thesis deals with statistical issues in the analysis of dependent failure time data under complex observation schemes. These observation schemes may yield right-censored, interval-censored and current status data and ...
    • The Liftable Mapping Class Group 

      Ghaswala, Tyrone (University of Waterloo, 2017-07-19)
      Broadly, this thesis lies at the interface of mapping class groups and covering spaces. The foundations of this area were laid down in the early 1970s by Birman and Hilden. Building on these foundations, there has been a ...
    • Light-Matter Interaction Models in Relativistic Quantum Information 

      Lopp, Richard (University of Waterloo, 2021-05-21)
      In this thesis, we study the interaction of a first-quantized atomic system with the quantum electromagnetic field within the context of relativistic quantum information (RQI). To that end, we examine common classes of ...
    • LightPlay: An Ambient Light System for Video Game Indicators and Notifications 

      Fung, Kin Pong (University of Waterloo, 2020-08-11)
      Video games often have indicators and notifications to convey in-game information. However, displaying these visuals on-screen come with trade-offs, such as consuming screen real estate and an inability for them to be ...

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