Index Catalog // ScholarsArchive@OSU

Leveraging Structures of the Data in Deep Learning

Creator:: Li, Xingyi
Abstract:: The performance of deep learning frameworks could be significantly improved through considering the particular underlying structures for each dataset. In this thesis, I summarize our three work about boosting the performance of deep learning models through leveraging structures of the data. In the first work, we theoretically justify that, for...
Resource Type:: Dissertation

Learning to Estimate Multi-Relation Aggregation Functions

Creator:: Jadhav, Rashmi Suresh
Abstract:: Multi-relation aggregation queries process the join operator before computing the aggregation function. This join is arguably the most costly operation since traditional join algorithms spend majority of their time trying to join the parts of the relations that do not generate any output tuples. This causes slow response times with...
Resource Type:: Masters Thesis

Failure-resilient congestion-aware load balancing protocol for three-tier clos data centers

Creator:: Alanazi, Sultan and Hamdaoui, Bechir
Abstract:: Clos-based network topologies have been deployed in production data center networks to provide multiple path alternatives between the pairs of network hosts. Production data centers operate under varying traffic dynamics and topological asymmetry. Therefore, a good load balancing scheme must adapt to network conditions and dynamics in real-time and intelligently...
Resource Type:: Technical Report

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

Infant Hand Detection and Tracking

Creator:: Mishra, Shridhar
Abstract:: Hand detection is a fundamental step for many hand-related computer vision tasks, such as gesture recognition, hand pose estimation, hand sign language translation, and so on. However, robustly detecting hands is a challenging task because of drastic changes in appearance based on finger articulation and changes in lighting conditions, camera...
Resource Type:: Masters Thesis

A Novel CCRW Receiver with Variable Width Window for Mitigating Multipath and Ambiguity in GNSS Positioning

Creator:: Alhussein, Fahad
Abstract:: This work presents a novel CCRW receiver that utilizes a window of variable width, for e˙ectively mitigating multipath and ambiguity in both civil and military positioning applica-tions using Global Navigation Satellite Systems (GNSS). This CCRW receiver incorporates a single stroboscopic window, whose width is iteratively reduced until the e˙ect of...
Resource Type:: Dissertation
Full Text:: committee member Professor Jinsub Kim, Professor Tejasvi Anand and Professor Larry Cheng. And I would like

Assessing and Finding Faults in AI: Two Empirical Studies

Creator:: Khanna, Roli
Abstract:: With the advent of Artificial Intelligence (AI) in every sphere of life in today's day and age, it has become increasingly important for non-AI experts to be able to comprehend the underlying logic of how AI systems work, assess them and find faults in these systems, particularly when they are...
Resource Type:: Masters Thesis

Source-Routed Multicast Schemes for Large-Scale Cloud Data Center Networks

Creator:: Alqahtani, Jarallah Ali m
Abstract:: Data centers (DCs) have been witnessing unprecedented growth in size, number and complexity in recent years. They consist of tens of thousands of servers interconnected by fast network switches, hosting and enabling numerous applications with various traffic characteristics and requirements. As a result, DC networks have been presented with several...
Resource Type:: Dissertation

Explanations and Processes to Enable Humans to Assess AI with Respect to Manipulable Properties

Creator:: Dodge, Jonathan E.
Abstract:: Assessing AI systems is difficult. Humans rely on AI systems in increasing ways, both visible and invisible, meaning a variety of stakeholders need a variety of assessment tools (e.g., a professional auditor, a developer, and an end user all have different needs). We posit that it is possible to provide...
Resource Type:: Dissertation

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:: to acknowledge my coadvisor, Professor Li-Jing (Larry) Cheng, and my com- mittee members, Professor

ScholarsArchive@OSU

Leveraging Structures of the Data in Deep Learning

Learning to Estimate Multi-Relation Aggregation Functions

Failure-resilient congestion-aware load balancing protocol for three-tier clos data centers

Collaborative Online Learning For Join Processing

Infant Hand Detection and Tracking

A Novel CCRW Receiver with Variable Width Window for Mitigating Multipath and Ambiguity in GNSS Positioning

Assessing and Finding Faults in AI: Two Empirical Studies

Source-Routed Multicast Schemes for Large-Scale Cloud Data Center Networks

Explanations and Processes to Enable Humans to Assess AI with Respect to Manipulable Properties

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

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