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Filtering by: Creator Hellickson, Martin L. Remove constraint Creator: Hellickson, Martin L. Academic Affiliation Electrical Engineering and Computer Science Remove constraint Academic Affiliation: Electrical Engineering and Computer Science Peer Reviewed No Remove constraint Peer Reviewed: No Resource Type Capstone Project Remove constraint Resource Type: Capstone Project

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  • Representing Program Edits with the Choice Calculus

    Creator:
    Xu, Keying
    Abstract:
    The problem of supporting more advanced selective undo operations has received a lot of attention. However, selective undo is generally missing in commonly used editors. Moreover, partial selective undo, the ability of undoing just part of some edit so that other edits may be undone, is not supported at all....
    Resource Type:
    Capstone Project
    Full Text:
    Program Edits with the Choice Calculus Abstract approved: Martin Erwig The problem of supporting more

  • Shape transformation using compactly supported radial basis functions

    Creator:
    Park, Byungsoo
    Abstract:
    Shape transformation is a technique for gradually changing one geometric shape to another. A recent approach presents the use of thin-plate radial basis functions as opposed to traditional "blobby sphere" implicit functions. Without the explicit evaluation of he energy function, this approach combined the two traditional steps into one by...
    Resource Type:
    Capstone Project
    Full Text:
    ....... ....................... .. ............... ................................................. 13 5 Norma l constraints

  • Data Classification and Extraction of Weather Reports

    Creator:
    Qin, Rui
    Abstract:
    Severe weather in the United States causes huge insured losses to crop and property frequently.It creates major impact and elicit diverse response in the weather insurance industry. Events like hail, storm, hurricane etc. are more likely to cause catastrophe losses. So it becomes crucial to collect and analyze these extreme...
    Resource Type:
    Capstone Project
    Full Text:
    Fern and Prof. Martin Erwig, for their time and support. Thirdly, I would like to thank NACSE

  • Contributions to Collaborative Filtering Research

    Creator:
    Nong, Shuzhen
    Abstract:
    In this report, I first introduce three areas of interest to collaborative filtering researchers, namely: (a) how to solve the sparsity and scalability problems in recommendation systems; (b) how to rapidly develop and test collaborative filtering algorithms; and (c) how to apply collaborative filtering to unbounded numeric preference data. In...
    Resource Type:
    Capstone Project
    Full Text:
    Members: Margaret Burnett Francisco Martin 2 ABSTRACT In this report, I first

  • 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:
    c’s. To solve this convex prob- lem, we deploy the L-BFGS [23] algorithm. The subgradient along αc

  • Timing Attacks on Software Implementation of RSA

    Creator:
    Singh, Harshman
    Abstract:
    Timing attacks enable an attacker to extract secret information from a cryptosystem by observing timing differences with respect to different inputs given to an encryption or decryption algorithm. Werner Schindler has proposed a timing attack on smart card devices. We implemented this attack based on the same approach for RSA...
    Resource Type:
    Capstone Project
    Full Text:
    Whitfield Diffie and Martin Hellman in order to solve the key management problem. In their concept, each

  • Improving the Effectiveness of Answering Keyword Queries Using Effective Subsets

    Creator:
    Khodadadi, Abtin
    Abstract:
    Most database users do not know formal query languages, such as SQL, and prefer to express their information needs using usable query languages, such as keyword queries. Keyword queries, however, are inherently ambiguous and challenging for the database systems to understand and answer effectively. We propose a novel approach to...
    Resource Type:
    Capstone Project
    Full Text:
    Endowment, 2005. [24] Martin L. Kersten and Lefteris Sidirourgos. A database system with amnesia. In CIDR

  • Enhancing intelligent API tutors with information about how APIs are used in practice

    Creator:
    Krishnamoorthy, Vasanth
    Abstract:
    Application Programming Interfaces (APIs) enable software developers to utilize and create functionality that would otherwise take a lot of time and effort to build from scratch. Consequently, an essential part of software engineering training is for students to learn how to use APIs effectively. The existing jTutors system enables an...
    Resource Type:
    Capstone Project

  • 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