Now showing items 594-613 of 1175

    • Kernel service outsourcing: an approach to improve performance and reliability of virtualized systems 

      Koh, Younggyun (Georgia Institute of Technology, 2010-07-07)
      Virtualization environments have become basic building blocks in consolidated data centers and cloud computing infrastructures. By running multiple virtual machines (VMs) in a shared physical machine, virtualization achieves ...
    • Kernel structures for a distributed operating system 

      Spafford, Eugene Howard (Georgia Institute of Technology, 1986-08)
    • Kitchen science investigators: promoting identity development as scientific reasoners and thinkers 

      Clegg, Tamara Lynnette (Georgia Institute of Technology, 2010-08-30)
      My research centers upon designing transformative learning environments and supporting technologies. Kitchen Science Investigators (KSI) is an out-of-school transformative learning environment we designed to help young ...
    • Knowledge Reasoning with Graph Neural Networks 

      Zhang, Yuyu (Georgia Institute of Technology, 2021-12-15)
      Knowledge reasoning is the process of drawing conclusions from existing facts and rules, which requires a range of capabilities including but not limited to understanding concepts, applying logic, and calibrating or ...
    • Landslide information service based on composition of physical and social information services 

      Musaev, Aibek (Georgia Institute of Technology, 2016-05-10)
      Modern world data come from an increasing number of sources, including data from physical sources like satellites and seismic sensors as well as social networks and web logs. While progress has been made in the filtering ...
    • Language features for fully distributed processing systems 

      Maccabe, Arthur Bernard (Georgia Institute of Technology, 1982)
    • Language Guided Localization and Navigation 

      Hahn, Meera (Georgia Institute of Technology, 2022-07-26)
      Embodied tasks that require active perception are key to improving language grounding models and creating holistic social agents. In this dissertation we explore four multi-modal embodied perception tasks and which require ...
    • Language Learning in Interactive Environments 

      Ammanabrolu, Prithviraj Venkata (Georgia Institute of Technology, 2021-07-28)
      Natural language communication has long been considered a defining characteristic of human intelligence. I am motivated by the question of how learning agents can understand and generate contextually relevant natural ...
    • Large scale machine learning for geospatial problems in computational sustainability 

      Robinson, David Caleb (Georgia Institute of Technology, 2020-05-14)
      The UN laid out 17 Sustainable Development Goals as part of the “The 2030 Agenda for Sustainable Development”. Each goal consists of broad targets - such as increasing the percentage of forested land (indicator 15.1.1) - ...
    • Lateral positioning of a monocular head-worn display 

      Haynes, Malcolm Gibran (Georgia Institute of Technology, 2017-08-25)
      Head-worn displays (HWDs) such as Google Glass are becoming more common. However, the optimal location for the display of such devices is an open question. Existing devices have displays located above, below, and in line ...
    • Learning adaptive reactive agents 

      Santamaria, Juan Carlos (Georgia Institute of Technology, 1997-08)
    • Learning an integrated hybrid image retrieval system 

      Jing, Yushi (Georgia Institute of Technology, 2012-01-06)
      Current Web image search engines, such as Google or Bing Images, adopt a hybrid search approach in which a text-based query (e.g. "apple") is used to retrieve a set of relevant images, which are then refined by the user ...
    • Learning by observing and understanding expert problem solving 

      Redmond, Michael Albert (Georgia Institute of Technology, 1992-12)
    • Learning descriptive models of objects and activities from egocentric video 

      Fathi, Alireza (Georgia Institute of Technology, 2013-06-13)
      Recent advances in camera technology have made it possible to build a comfortable, wearable system which can capture the scene in front of the user throughout the day. Products based on this technology, such as GoPro and ...
    • Learning dynamic processes over graphs 

      Trivedi, Rakshit (Georgia Institute of Technology, 2020-07-09)
      Graphs appear as a versatile representation of information across domains spanning social networks, biological networks, transportation networks, molecular structures, knowledge networks, web information network and many ...
    • Learning embodied models of actions from first person video 

      Li, Yin (Georgia Institute of Technology, 2017-08-28)
      Advances in sensor miniaturization, low-power computing, and battery life have enabled the first generation of mainstream wearable cameras. Millions of hours of videos are captured by these devices every year, creating a ...
    • Learning from Multi-Source Weak Supervision for Neural Text Classification 

      Ren, Wendi (Georgia Institute of Technology, 2020-07-28)
      Text classification is a fundamental text mining task with numerous real-life applications. While deep neural nets have achieved superior performance for text classification, they rely on large-scale labeled data to achieve ...
    • Learning from Observation Using Primitives 

      Bentivegna, Darrin Charles (Georgia Institute of Technology, 2004-07-13)
      Learning without any prior knowledge in environments that contain large or continuous state spaces is a daunting task. For robots that operate in the real world, learning must occur in a reasonable amount of time. Providing ...
    • Learning in public: information literacy and participatory media 

      Forte, Andrea (Georgia Institute of Technology, 2009-07-06)
      This research examines new systems of information production that are made possible by participatory media. Such systems bring about two critical information literacy needs for the general public: to understand new systems ...
    • Learning knowledge to support domain-independent narrative intelligence 

      Li, Boyang (Georgia Institute of Technology, 2015-01-09)
      Narrative Intelligence is the ability to craft, tell, understand, and respond appropriately to narratives. It has been proposed as a vital component of machines aiming to understand human activities or to communicate ...