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Filtering by: Creator Sung, Chih-Jen Remove constraint Creator: Sung, Chih-Jen Degree Field Computer Science Remove constraint Degree Field: Computer Science

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Identifying and Removing On-chip Network Bottleneck in Throughput Processors

Creator:

Li, Yunfan

Abstract:

The high level of parallelism in throughput processors such as GPGPUs has resulted in significantly changed on-chip data traffic behaviors. This demands new research to identify and address the limiting factors of networks-on-chip (NoCs) in the context of throughput processors. In this work, we ﬁrst quantitatively analyze the performance of...

Resource Type:

Masters Thesis
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
Robust and Efficient Classification of Videos in the Wild

Creator:

Mahasseni, Behrooz

Abstract:

Recognizing human actions in videos is a long-standing problem in computer vision with a wide range of applications including video surveillance, content retrieval, and sports analysis. This thesis focuses on addressing efficiency and robustness of video classification in unconstrained real-world settings. The thesis work can be broadly divided into four...

Resource Type:

Dissertation
Active Learning from Examples, Queries and Explanations

Creator:

Hamidi-Haines, Mandana

Abstract:

Humans are remarkably efficient in learning by interacting with other people and observing their behavior. Children learn by watching their parents’ actions and mimic their behavior. When they are not sure about their parents demonstration, they communicate with them, ask questions, and learn from their feedback. On the other hand,...

Resource Type:

Dissertation
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
A Framework for Evaluating the Comprehensiveness of Continuous Improvement in Academic Computing Programs. A 360-Degree View of the Continuous Improvement Efforts in a Large School of Electrical Engineering and Computer Science

Creator:

Azzouni, Abdullah

Abstract:

Continuous Improvement (CI) of academic computing programs is a main requirement of accreditation. Academic computing programs must have a well-documented CI plan in order to be granted accreditation. Based on the existing literature, we developed a comprehensive CI (or 360-CI) model consisting of 8 components: course, curriculum, administration, faculty, research,...

Resource Type:

Dissertation
Efficient Private Matching for Private Databases

Creator:

Trieu, Thi Ni Ni

Abstract:

Private matching (PM) is a key cryptographic primitive in secure computation that allows several parties to jointly compute some functions depending on their private inputs. Indeed, this primitive has many practical applications. For instance, in online advertising, two companies may wish to find their common customers for a joint marketing...

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Dissertation

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Academic Affiliation

Electrical Engineering and Computer Science7

Advisor

Todorovic, Sinisa2
Emerson, Sarah1
Parham Mocello, Jennifer1
Rosulek, Mike1
Sanner, Scott P.1
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Current results range from 2016 to 2022

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Committee Member

Fern, Alan3
Bolte, John2
Li, Fuxin2
Bobba, Rakesh1
Borradaile, Glencora1
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Creator

Azzouni, Abdullah1
Hamidi Haines, Mandana1
Iman, Zahra1
Lam, Michael Q.1
Li, Yunfan1
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Date

Date range begin – Date range end

Current results range from 2016 to 2022

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Decade

2020-20292
2010-20195

Degree Field

Computer Science[remove]7

Degree Level

Doctoral5
Master's2

Degree Name

Doctor of Philosophy (Ph.D.)5
Master of Science (M.S.)2

Language

English [eng]7

License

All rights reserved7

Non-Academic Affiliation

Oregon State University. Graduate School2

Peer Reviewed

No7

Resource Type

Dissertation5
Masters Thesis2

Rights Statement

In Copyright7

Subject

Computer multitasking1
Computer vision1
Electronic information resource searching1
Human body in motion pictures1
Human locomotion1
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