Search Constraints

Start Over
Filtering by: Creator Lam, Peter G. Remove constraint Creator: Lam, Peter G. Degree Field Computer Science Remove constraint Degree Field: Computer Science

Search Results

  • Fine-Grained Object Recognition Under Limited Training Data

    Creator:
    Lam, Michael Q.
    Abstract:
    This dissertation addresses object recognition in challenging settings, where distinct object classes are visually very similar (e.g., species of birds and insects) and/or access to training examples of object classes is limited (e.g., due to the associated high costs of data annotation). In this dissertation, we present a variety of...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Michael Lam for the

  • Object detection in biological images using a search-based framework

    Creator:
    Lam, Michael
    Abstract:
    This thesis addresses a basic problem in computer vision, that of semantic labeling of images. Our work is aimed at object detection in biological images for evolutionary biology research. In particular, our goal is to detect nematocysts in Scanning Electron Microscope (SEM) images. This biological domain presents challenges for existing...
    Resource Type:
    Masters Thesis
    Full Text:
    Framework AN ABSTRACT OF THE THESIS OF Michael Lam for the degree of Master of Science in Computer

  • G, a language based on demand-driven stream evaluations

    Creator:
    Placer, John R.
    Abstract:
    A programming paradigm can be defined as a model or an approach employed in solving a problem. The results of the research described in this document demonstrate that it is possible to unite several different programming paradigms into a single linguistic framework. The imperative, procedural, applicative, lambda-free, relational, logic and...
    Resource Type:
    Dissertation
    Full Text:
    G, a language based on demand-driven stream evaluations

  • Activity recognition in desktop environments

    Creator:
    Shen, Jianqiang
    Abstract:
    Knowledge workers are struggling in the information flood. There is a growing interest in intelligent desktop environments that help knowledge workers organize their daily life. Intelligent desktop environments allow the desktop user to define a set of “activities” that characterize the user’s desktop work. These environments then attempt to identify...
    Resource Type:
    Dissertation
    Full Text:
    Recognition in Desktop Environments Abstract approved: Thomas G. Dietterich Knowledge workers are

  • 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:
    Methods for Computational Sustainability Abstract approved: Thomas G. Dietterich Maintaining the

  • Constructive induction for improved learning of boolean functions

    Creator:
    Drake, Peter (Peter Dudey), 1970-
    Abstract:
    Supervised learning programs, such as decision tree learners and neural networks, often must learn Boolean functions. The concept being learned may not easily be expressed in terms of the atomic features given. Constructive induction automatically produces higher level features (combinations of the atomic features), which can improve learning performance. The...
    Resource Type:
    Masters Thesis
    Full Text:
    AN ABSTRACT OF THE THESIS OF Peter Drake for the degree of

  • Complexity of assembly language programs

    Creator:
    Spoerri, Peter
    Resource Type:
    Capstone Project
    Full Text:
    ) Complexity of Assembly Language Programs by Peter

  • Keeping your Friends Secret: Improving the Security, Effciency and Usability of Private Set Intersection

    Creator:
    Rindal, Peter B.
    Abstract:
    Private set intersection (PSI) allows two parties, who each hold a set of items, to compute the intersection of those sets without revealing anything about other items. Recent advances in PSI have significantly improved its performance for the case of semi-honest security, making semi-honest PSI a practical alternative to insecure...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF Peter Byerley Rindal

  • Computer Vision Model Selection For Real-Time Tracking of Apples

    Creator:
    Bloch, Peter J.
    Abstract:
    This paper presents a method of implementing real-time apple detection for closed-loop control to approach apples for grabbing. The approach is to train two known real-time object detection networks–the Faster R-CNN and YOLOv5–on a novel dataset to verify that it is possible to achieve maximum average precision (mAP) above 50\%...
    Resource Type:
    Honors College Thesis
    Full Text:
    Tracking of Apples By Peter Bloch A THESIS submitted to Oregon State University Honors College in

  • A library for doing polyhedral operations

    Creator:
    Wilde, Doran K.
    Abstract:
    Polyhedra are geometric representations of linear systems of equations and inequalities. Since polyhedra are used to represent the iteration domains of nested loop programs, procedures for operating on polyhedra can be used for doing loop transformations and other program restructuring transformations which are needed in parallelizing compilers. Thus a need...
    Resource Type:
    Masters Thesis
    Full Text:
    P=V+R+G (2.9) Decomposition implies that any polyhedron may be decomposed into its vertices, rays