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Filtering by: Creator Haberle, Robert M. Remove constraint Creator: Haberle, Robert M. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Resource Type Capstone Project Remove constraint Resource Type: Capstone Project Rights Statement In Copyright Remove constraint Rights Statement: In Copyright

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  • Survey of System Virtualization Techniques

    Creator:
    Rose, Robert
    Abstract:
    This paper discusses two main trends in the development of virtual machine systems: full system virtualization, where an entire hardware architecture is replicated virtually, and paravirtualization, where an operating system is modified so that it can be run concurrently with other operating systems that have also been designed for paravirtualization.
    Resource Type:
    Capstone Project
    Full Text:
    Survey of System Virtualization Techniques Robert Rose March 8, 2004

  • Exploring Outlier Exposure Methods for Deep Margin-Based Anomaly Detection

    Creator:
    Noel, Thomas
    Abstract:
    In standard training regimes, one assumes that the classes presented to a model constitute all of the classes that the model will encounter when it is deployed. In real deployment scenarios, however, a model can sometimes encounter situations or objects that it has never seen. When these scenarios are safety-critical,...
    Resource Type:
    Capstone Project
    Full Text:
    , Jacob R. Kauffmann, Robert A. Vandermeulen, Grégoire Montavon, Wojciech Samek, Marius Kloft, Thomas G

  • Novelty Detection Under the Multi-Instance Multi-Label Framework

    Creator:
    Lou, Qi
    Abstract:
    Novelty detection plays an important role in machine learning and signal processing. This project studies novelty detection in a new setting where the data object is represented as a bag of instances and associated with multiple class labels, referred to as multi-instance multi-label (MIML) learning. Contrary to the common assumption...
    Resource Type:
    Capstone Project
    Full Text:
    testing bags are both generated according to Algorith- m 2, i.e., without bag filtration

  • Classifier Chains for Multi-Label Classification with Incomplete Labels

    Creator:
    Almuallim, Jafer
    Abstract:
    Many methods have been explored in the literature of multi-label learning, ranging from simple problem transformation to more complex method that capture correlation among labels. However, mostly all existing works do not address the challenge with incomplete label data. The goal of this project is to extend the work of...
    Resource Type:
    Capstone Project
    Full Text:
    distinct random order of chains. ECC trains m CC classifier h11, .., hLm; each of the CC classifier comes

  • Collaborative Online Learning For Join Processing

    Creator:
    Xie, Mian
    Abstract:
    Relational binary operators, such as join, are arguably the most costly and frequently used operations in relational data systems. In many join algorithms, the majority of the process time is spent on scanning and attempting to join the parts of the relations that do not satisfy the join condition and...
    Resource Type:
    Capstone Project
    Full Text:
    versa, i.e., m to n joins. S-scan may leverage a similar method of learning and exploiting its learned

  • Improving GPGPU NoC Performance with Memory Controller Placement Awareness

    Creator:
    Kollipara, Lakshman Madhav
    Abstract:
    General-purpose Graphics Processing Units (GPGPUs) have become a critical component in high-performance computing (HPC) systems in executing modern computational workloads. The high thread level parallelism (TLP) and programmable shader cores allow thousands of threads to execute in Parallel. The fast-scaling of GPGPUs have increased the demand for performance optimizations on...
    Resource Type:
    Capstone Project
    Full Text:
    . [8] Bakhoda, Ali, John Kim, and Tor M. Aamodt. "Throughput-effective on-chip networks for manycore

  • Exploring Indoor Navigation Based on 9-dof Kalman Filter and SLAM Algorithm

    Creator:
    Qin, Shuxian
    Abstract:
    Traditional localization techniques rely on triangulation or trilateration, where in a set of three or more stationary known locations is used to estimate a “client” position. For inertial navigation, these techniques can estimate client positions merely using the measured data from tri-axial accelerometers and gyroscopes. However, the use of double...
    Resource Type:
    Capstone Project
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    signal. It is then easy to obtain acceleration from a=F/m. Like other acceleration measurement devices

  • Learning Based Anomaly Detection for Industrial Arm Applications

    Creator:
    Narayanan, Vedanth
    Abstract:
    Smart Manufacturing (SM) is envisioned to make manufacturing processes more efficient through automation and integration of networked information systems. Robotic arms are integral to this vision. However the benefits of SM, enabled by automation and networking, also come with cyber risks. In this work, we propose an anomaly detection framework...
    Resource Type:
    Capstone Project
    Full Text:
    vector consists of m features. The training data used in this work will be elaborated on in Section V

  • Application of the Variational Database Management System to Schema Evolution and Software Product Lines

    Creator:
    Li, Qiaoran
    Abstract:
    As a general solution to the problem of managing structural and content variability in relational databases, in previous work we have introduced the Variational Database Management System (VDBMS). VDBMS consists of a representation of a variational database (VDB) and a corresponding typed query language (v-query). However, since this is a...
    Resource Type:
    Capstone Project
    Full Text:
    the feature model m = (V1 ∧ ¬V2)∨(¬V1 ∧ V2) to express that exactly one of V1 or V2 must be true. 5