Now showing items 6-25 of 1544

    • A+ Indexes: Highly Flexible Adjacency Lists in Graph Database Management Systems 

      Khaliq, Shahid (University of Waterloo, 2019-09-17)
      Adjacency lists are the most fundamental storage structure in existing graph database management systems (GDBMSs) to index input graphs. Adjacency lists are universally linked-list like per-vertex structures that allow ...
    • Accelerating and Privatizing Diffusion Models 

      Dockhorn, Tim (University of Waterloo, 2023-08-17)
      Diffusion models (DMs) have emerged as a powerful class of generative models. DMs offer both state-of-the-art synthesis quality and sample diversity in combination with a robust and scalable learning objective. DMs rely ...
    • Accelerating the Training of Convolutional Neural Networks for Image Segmentation with Deep Active Learning 

      Chen, Wei Tao (University of Waterloo, 2020-01-23)
      Image semantic segmentation is an important problem in computer vision. However, Training a deep neural network for semantic segmentation in supervised learning requires expensive manual labeling. Active learning (AL) ...
    • Access Control Administration with Adjustable Decentralization 

      Chinaei, Amir Hossein (University of Waterloo, 2007-09-12)
      Access control is a key function of enterprises that preserve and propagate massive data. Access control enforcement and administration are two major components of the system. On one hand, enterprises are responsible for ...
    • Accurate viscous free surfaces for buckling, coiling, and rotating liquids 

      Batty, Christopher; Bridson, Robert (Association for Computing Machinery, 2008-07)
      We present a fully implicit Eulerian technique for simulating free surface viscous liquids which eliminates artifacts in previous approaches, efficiently supports variable viscosity, and allows the simulation of more ...
    • Achieving Performance Objectives for Database Workloads 

      Mallampalli, Anusha (University of Waterloo, 2010-08-30)
      In this thesis, our goal is to achieve customer-specified performance objectives for workloads in a database management system (DBMS). Competing workloads in current DBMSs have detrimental effects on performance. ...
    • Active Learning with Semi-Supervised Support Vector Machines 

      Chinaei, Leila (University of Waterloo, 2007-05-22)
      A significant problem in many machine learning tasks is that it is time consuming and costly to gather the necessary labeled data for training the learning algorithm to a reasonable level of performance. In reality, it is ...
    • Active Sensing for Partially Observable Markov Decision Processes 

      Koltunova, Veronika (University of Waterloo, 2013-01-21)
      Context information on a smart phone can be used to tailor applications for specific situations (e.g. provide tailored routing advice based on location, gas prices and traffic). However, typical context-aware smart phone ...
    • Ad-hoc Holistic Ranking Aggregation 

      Saleeb, Mina (University of Waterloo, 2012-12-06)
      Data exploration is considered one of the major processes that enables the user to analyze massive amount of data in order to find the most important and relevant informa- tion needed. Aggregation and Ranking are two of ...
    • Adapting Component Analysis 

      Dorri, Fatemeh (University of Waterloo, 2012-05-18)
      A main problem in machine learning is to predict the response variables of a test set given the training data and its corresponding response variables. A predictive model can perform satisfactorily only if the training ...
    • Adapting to Data Drift in Encrypted Traffic Classification Using Deep Learning 

      Malekghaini, Navid (University of Waterloo, 2023-01-12)
      Deep learning models have shown to achieve high performance in encrypted traffic classification. However, when it comes to production use, multiple factors challenge the performance of these models. The emergence of new ...
    • Adaptive Algorithms for Weighted Queries on Weighted Binary Relations and Labeled Trees 

      Veraskouski, Aleh (University of Waterloo, 2007-07-30)
      Keyword queries are extremely easy for a user to write. They have become a standard way to query for information in web search engines and most other information retrieval systems whose users are usually laypersons and ...
    • Adaptive Comparison-Based Algorithms for Evaluating Set Queries 

      Mirzazadeh, Mehdi (University of Waterloo, 2004)
      In this thesis we study a problem that arises in answering boolean queries submitted to a search engine. Usually a search engine stores the set of IDs of documents containing each word in a pre-computed sorted order and ...
    • An Adaptive Context-Aware Publish–Subscribe Component Metamodel 

      Blanco, Luis (University of Waterloo, 2015-01-16)
      There are plenty of solutions in which the functionality for context awareness is separated from the domain-specific functionality. Also, there are multiple ways of modeling, gathering, and processing context-related ...
    • Adaptive CPU Allocation for Resource Isolation and Work Conservation 

      Guo, Cong (University of Waterloo, 2020-07-06)
      Consolidating multiple workloads on the same physical machine is an effective measure for utilizing resources efficiently and reducing costs. The main objective is to execute multiple demanding workloads using no more than ...
    • Adaptive Cross-Project Bug Localization with Graph Learning 

      Arumugam, Venkatraman (University of Waterloo, 2022-06-07)
      Bug localization is the process of identifying the source code files associated with a bug report. This is important because it allows developers to focus their efforts on fixing the bugs than finding the root cause of ...
    • Adaptive Data Storage and Placement in Distributed Database Systems 

      Abebe, Michael (University of Waterloo, 2022-09-01)
      Distributed database systems are widely used to provide scalable storage, update and query facilities for application data. Distributed databases primarily use data replication and data partitioning to spread load across ...
    • Adaptive Fusion Techniques for Effective Multimodal Deep Learning 

      Sahu, Gaurav (University of Waterloo, 2020-08-28)
      Effective fusion of data from multiple modalities, such as video, speech, and text, is a challenging task due to the heterogeneous nature of multimodal data. In this work, we propose fusion techniques that aim to model ...
    • Adaptive Human-Chatbot Interactions: Contextual Factors, Variability Design and Levels of Automation 

      Melo dos Santos, Glaucia (University of Waterloo, 2023-12-05)
      The landscape of software development is undergoing a significant transformation characterized by various factors. A notable shift is the surging demand for software developers, driven by industries' increasing reliance ...
    • Adaptive Range Counting and Other Frequency-Based Range Query Problems 

      Wilkinson, Bryan T. (University of Waterloo, 2012-05-18)
      We consider variations of range searching in which, given a query range, our goal is to compute some function based on frequencies of points that lie in the range. The most basic such computation involves counting the ...

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