Search Constraints

Start Over
Filtering by: Creator Deinzer, Max L. Remove constraint Creator: Deinzer, Max L. Committee Member Raich, Raviv Remove constraint Committee Member: Raich, Raviv Language English [eng] Remove constraint Language: English [eng]

Search Results

  • Machine Learning Methods for Computational Sustainability

    Creator:
    Liu, Liping
    Abstract:
    Maintaining the sustainability of the earth’s ecosystems has attracted much attention as these ecosystems are facing more and more pressure from human activities. Machine learning can play an important role in promoting sustainability as a large amount of data is being collected from ecosystems. There are at least three important...
    Resource Type:
    Dissertation
    Full Text:
    the likelihood of observed candidate labels. f∗ = arg max f N∑ n=1 log L∑ yn=1 p(yn|xn; f)p(Yn|yn

  • Sensor Interface Circuit Design towards CMOS Scaling

    Creator:
    Liu, Jialin
    Abstract:
    Sensor system plays an important role in connecting everything including human body to the electrical information systems that we have built and that we are going to build, to make the world more intelligent and efficient. One of the key propulsive forces behind these emerging techniques is CMOS scaling that...
    Resource Type:
    Dissertation
    Full Text:
    Raviv Raich, Professor Matthew L. Johnston, and Professor Megumi Kawasaki for all the help, support

  • Secure Data Analytics under Data Integrity Attacks

    Creator:
    De Silva, Shashini A.
    Abstract:
    There has been tremendous growth in using data analytic and machine learning algorithms to make critical decisions, such as in the national power grid, healthcare operations, and autonomous vehicles. Employing data analytic for decision-making allows cyber attackers to manipulate the decisions of these algorithms through data falsification. Hence, the trustworthiness...
    Resource Type:
    Dissertation
    Full Text:
    (either transmission lines or transformers) interconnecting these buses, specifically, {i, l} ∈ E if and

  • Fast queuing policies via convex relaxation

    Creator:
    Nguyen-Huu, Duong
    Abstract:
    Traditionally, networking protocol designs have placed much emphasis on point-to-point reliability and efficiency. With the recent rise of mobile and multimedia applications, other considerations such as power consumption and/or Quality of Service (QoS) are becoming increasingly important factors in designing network protocols. As such, we present a new flexible framework...
    Resource Type:
    Masters Thesis
    Full Text:
    second largest eigen- value modulus (SLEM) of a matrix P is defined as: µ(P ) = max i=2,...,|Ω| |λi(P

  • Multi-instance multi-label learning : algorithms and applications to bird bioacoustics

    Creator:
    Briggs, Forrest
    Abstract:
    We consider the problem of supervised classification of bird species from audio recordings in a real-world acoustic monitoring scenario (i.e. audio data is collected in the field with an omnidirectional microphone, without human supervision). Obtaining better data about bird activity can assist conservation efforts, and improve our understanding of their...
    Resource Type:
    Dissertation
    Full Text:
    . Transductive mode, max model, � “ 10 ́ 7 . . . . . . 90 5.5 (a–e) Solid line – accuracy vs. �. Dotted

  • Learning approaches for the early detection of kickback in chainsaws

    Creator:
    Arnold, Drew D.
    Abstract:
    Among the many safety hazards facing chainsaw operators, the phenomenon known as kickback is the most dangerous. Kickback occurs when the chain at the tip of the chainsaw is caused to stop abruptly, and transfers the energy of the cutting chain to motion of the saw. The saw will rotate...
    Resource Type:
    Masters Thesis

  • Pixel- and Frame-level Video Labeling using Spatial and Temporal Convolutional Networks

    Creator:
    Lei, Peng
    Abstract:
    This dissertation addresses the problem of video labeling at both the frame and pixel levels using deep learning. For pixel-level video labeling, we have studied two problems: i) Spatiotemporal video segmentation and ii) Boundary detection and boundary flow estimation. For the problem of spatiotemporal video segmentation, we have developed recurrent...
    Resource Type:
    Dissertation
    Full Text:
    -max outputs of the decoder produce boundary predictions in each of the two input images. Also, the

  • Modeling, Fabrication, and Characterization of Magnetic Thin Films for Integrated Inductor and MRAM Applications

    Creator:
    Buford, Benjamin
    Abstract:
    Magnetic thin films have potential to improve devices such as on-chip inductors, and enable new technologies such as magnetic random access memory (MRAM). The use of magnetic cores in on-chip inductors is typically limited to applications well under 1 GHz. At higher frequencies, the performance of the magnetic core is...
    Resource Type:
    Dissertation
    Full Text:
    the inductor (Happlied), and dimensions (L, W) of the magnetic core are shown

  • Crowdsourcing via Pairwise Co-occurrences: Identifiability and Algorithms

    Creator:
    Ibrahim, Shahana
    Abstract:
    Crowdsourcing is a popular paradigm to address the high demands for labeled data in big data deluge. It aims to produce accurate labels by effectively integrating noisy, non-expert labeling from crowdsourced workers (annotators). The machine learning community has been studying effective crowdsourcing methods for many years, and many models and...
    Resource Type:
    Masters Thesis
    Full Text:
    MAP predictor in general [46]. Specifically, the MAP predictor ŷn can be written as ŷn = arg max k

  • Network Coding, Random Matrices, and Their Applications to Communication Systems

    Creator:
    Nguyen-Huu, Duong
    Abstract:
    In this work, we study network coding technique, its relation to random matrices, and their applications to communication systems. The dissertation consists of three main contributions. First, we propose efficient algorithms for data synchronization via a broadcast channel using random network coding. Second, we study the resiliency of network coding...
    Resource Type:
    Dissertation
    Full Text:
    strictly greater than 0. On the other hand, using ( D l ) ≥ 1, we have F (k,D, αmax) = k∑ l