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Filtering by: Creator He, Feng Remove constraint Creator: He, Feng Degree Field Computer Science Remove constraint Degree Field: Computer Science

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  • Linear-time Algorithms for RNA Folding: Partition Function, Stochastic Sampling and RNA-RNA Interaction

    Creator:
    Zhang, He
    Abstract:
    RNAs play important roles in the central dogma of molecular biology, and are involved in multiple biology processes such as chromatin modification, transcriptional interference and translation initiation. The functions of RNAs, especially non-coding RNAs, are highly related to its secondary structures, therefore computational methods for RNA structure prediction are of...
    Resource Type:
    Dissertation
    Full Text:
    AN ABSTRACT OF THE DISSERTATION OF He Zhang for the

  • Fine-grained detection and localization of objects in images

    Creator:
    Feng, Yaofei
    Abstract:
    Object recognition is a fundamental problem in computer vision. Recognition is required by many applications. This thesis presents a distance based approach to recognize objects. We are interested in objects that belong to very similar classes, where each class has large variations. This problem is called fine-grained object recognition. Given...
    Resource Type:
    Masters Thesis
    Full Text:
    document.dvi AN ABSTRACT OF THE THESIS OF Yaofei Feng for the

  • Generative Models Meet Explainable AI and Long-Tail Learning: from Attribution Maps to Image Synthesis

    Creator:
    Khorram, Saeed
    Abstract:
    The advancement of artificial intelligence (AI) has led to transformative developments across multiple sectors, fostering innovation and redefining our interactions with technology. As AI matures and becomes integrated into society, it offers numerous opportunities to address global challenges and revolutionize a wide array of human endeavors. These advances are driven...
    Resource Type:
    Dissertation
    Full Text:
    Oregon State University. Fuxin has been an inspirational mentor and a friend to me. He was extremely

  • A survey of divide and conquer algorithms for polygon fillings

    Creator:
    Mossaides, Paula Xenis
    Abstract:
    This survey looks at five different polygon breaking algorithms and compares them. The criteria for comparison are: 1. Complexity of the algorithm. 2. The number and type of subpolygons produced. 3. The classes of input polygons that can be broken. The best algorithm is then coded and a comparison is...
    Resource Type:
    Capstone Project
    Full Text:
    .................................................... Algorithm 3 - Feng and Pavlidis ................................. Synopsis Part 1 Part 2 3 Part

  • Exploratory Study to Uncover Student Mental Models of Singly Linked Lists in the C Programming Language

    Creator:
    Almadhoun, Eman
    Abstract:
    In computer science, learning abstract fundamental programming concepts requiring students to understand memory management can be very difficult and lead to misunderstandings that carry on into advanced topics. This is especially true in data structures with abstract data types. Understanding how novice students think and reason about data structures is...
    Resource Type:
    Dissertation
    Full Text:
    . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49 4.8 Suzy (left) and Feng (right) node structure. . . . . . . . . . . . . . . . . . 52 LIST OF

  • Adaptive Wing Loss for Robust Face Alignment via Heatmap Regression

    Creator:
    Wang, Xinyao
    Abstract:
    Heatmap regression has became one of the mainstream approaches to localize facial landmarks. As Convolutional Neural Network (CNN) and Recurrent Neural Network (RNN) are becoming popular in solving computer vision tasks, extensive research has been done on these architectures. However, the loss function for heatmap regression is rarely studied. In...
    Resource Type:
    Masters Thesis
    Full Text:
    and encourage through- out this difficult work. He is one of the best advosors I have ever met

  • Two Sides of a Coin: Adversarial-Based Image Privacy and Defending Against Adversarial Perturbations for Robust CNNs

    Creator:
    Rajabi, Arezoo
    Abstract:
    Emergence of highly accurate Convolutional Neural Networks (CNNs) with the capability to process large datasets, has led to their popularity in many applications, including safety/security-sensitive (e.g. disease recognition, self-driving cars). Despite the high accuracy of convolutional neural networks, they have been found to be susceptible to adversarial noise added to...
    Resource Type:
    Dissertation
    Full Text:
    pleasure to collaborate with Dr. Mahdieh Abbasi, Dr. Charles Wright, Dr. Wuchi Feng and Dr. Mike Rosulek

  • Applying 2D Tensor Field Topology to Symmetric Stress Tensors

    Creator:
    Gao, Xiaofei
    Abstract:
    Tensor mathematics provides a powerful language to visualize and analyze physical phenomena. In the last three decades, tensors have been used in various application areas. The visualization and analysis of tensors fields have seen much advance, both in 2D and 3D. However, the physical interpretations of the topological analysis are...
    Resource Type:
    Masters Thesis
    Full Text:
    . Moreover, he presents the steps to get the equation and proves the equation. Dz3 +(C+2B)z2 +(2A−D)z−C = 0

  • Learning hierarchical decomposition rules for planning : an inductive logic programming approach

    Creator:
    Reddy, Chandrasekhara K.
    Abstract:
    Artificial Intelligence (AI) planning techniques have been central to automating a gamut of tasks from the mundane route planning and beer production to the ethereal image processing of space-ship images. Of all the planning techniques, hierarchical- decomposition planning has been the technique most employed in industrial-strength planners. Hierarchical-decomposition planning is...
    Resource Type:
    Dissertation
    Full Text:
    , Prasad Tadepalli. He was the veritable fount of inspiration, insight, encouragement and advice

  • Learning Topical Social Media Sensors for Twitter

    Creator:
    Iman, Zahra
    Abstract:
    Social media sources such as Twitter represent a massively distributed social sensor over diverse topics ranging from social and political events to entertainment and sports news. However, due to the overwhelming volume of content, it can be difficult to identify novel and significant content within a broad topic in a...
    Resource Type:
    Masters Thesis