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Filtering by: Creator Jarvis, Philip Arthur Remove constraint Creator: Jarvis, Philip Arthur Committee Member Li, Fuxin Remove constraint Committee Member: Li, Fuxin

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Investigating Latent State and Uncertainty Representations in Reinforcement Learning

Creator:

Koul, Anurag

Abstract:

Learning latent space representations of high-dimensional world states has been at the core of recent rapid growth in reinforcement learning(RL). At the same time, RL algo- rithms have suffered from ignored uncertainties in the predicted estimates of model-free or model-based methods. In our work, we investigate both of these aspects...

Resource Type:

Dissertation
Image Based Crypto

Creator:

Basa, Gungor

Abstract:

The ability to create reproducible cryptographically secure keys from temporal environments (e.g., images) has the potential to be a contributor to effective cryptographic mechanisms. Due to the noisy nature of these environments, achieving this goal in a user friendly fashion is a very challenging task, especially since there exists a...

Resource Type:

Masters Thesis
Anomaly Detection and Probabilistic Diagnosis for Automated Data Quality Control

Creator:

Zemicheal, Tadesse H.

Abstract:

Advances in sensor technology are greatly expanding the range of quantities that can be measured while simultaneously reducing the cost. However, deployed sensors drift out of calibration and fail, so every sensor network requires quality control procedures to promptly detect these failures. To address these problems, we propose a two-level...

Resource Type:

Dissertation
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
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
Semantic embodied navigation : developing agents that navigate from language and vision

Creator:

Krantz, Jacob

Abstract:

Autonomous robotic agents are on their way to becoming in-home personal assistants, construction assistants, and warehouse workers. The degree of autonomy of such systems is reflected by the manner in which we specify goals to them; the abstraction of low-level commands to high-level goals goes hand-in-hand with increased autonomy. In...

Resource Type:

Dissertation

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Academic Affiliation

Electrical Engineering and Computer Science6

Advisor

Dietterich, Thomas G.2
Burnett, Margaret M.1
Fern, Alan1
Lee, Stefan1
Todorovic, Sinisa1
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Commencement Year

Commencement Year range begin – Commencement Year range end

Current results range from 2017 to 2024

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Committee Member

Li, Fuxin[remove]6
Fern, Alan3
Tadepalli, Prasad3
Rosulek, Mike2
Louis, Joseph1
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Creator

Basa, Gungor1
Dodge, Jonathan E.1
Koul, Anurag1
Krantz, Jacob1
Mahasseni, Behrooz1
more Creators »

Date

Date range begin – Date range end

Current results range from 2016 to 2023

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Decade

2020-20294
2010-20192

Degree Field

Computer Science6

Degree Level

Doctoral5
Master's1

Degree Name

Doctor of Philosophy (Ph.D.)5
Master of Science (M.S.)1

Language

English [eng]6

License

All rights reserved6

Non-Academic Affiliation

Oregon State University. Graduate School2

Peer Reviewed

No6

Resource Type

Dissertation5
Masters Thesis1

Rights Statement

In Copyright6

Subject

Machine learning2
Computer multitasking1
Computer vision1
Data encryption (Computer science)1
Digital images1
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