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Filtering by: Creator Yan, Jing Remove constraint Creator: Yan, Jing Committee Member Tadepalli, Prasad Remove constraint Committee Member: Tadepalli, Prasad

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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
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
Physical activity recognition of free-living data using change-point detection algorithms and hidden Markov models

Creator:

Anderson, Michael M.

Abstract:

Physical activity recognition using accelerometer data is a rapidly emerging ﬁeld with many real-world applications. Much of the previous work in this area has assumed that the accelerometer data has already been segmented into pure activities, and the activity recognition task has been to classify these segments. In reality, activity...

Resource Type:

Masters Thesis
Learning with Limited Labeled Data in Natural Language Processing

Creator:

Obeidat, Rasha

Abstract:

The advent of deep learning models leads to a substantial improvement in a wide range of NLP tasks, achieving state-of-art performances without any hand-crafted features. However, training deep models requires a massive amount of labeled data. Labeling new data as a new task or domain emerges consumes time and efforts...

Resource Type:

Dissertation
Advances in Simultaneous Translation

Creator:

Zheng, Renjie

Abstract:

Simultaneous translation, which translates concurrently with the source language speech, is widely used in many scenarios including multilateral organizations. However, it is well known to be one of the most challenging tasks for humans due to the simultaneous perception and production in two languages. On the other hand, simultaneous translation...

Resource Type:

Dissertation
Improving and Understanding Deep Models for Natural Language Comprehension

Creator:

Ghaeini, Reza

Abstract:

Natural Language Comprehension is a challenging domain of Natural Language Processing. To improve a model’s language comprehension/understanding, one approach would be to enrich the structure of the model to enhance its capability in learning the latent rules of the language. In this dissertation, we will ﬁrst introduce several deep models...

Resource Type:

Dissertation

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Academic Affiliation

Electrical Engineering and Computer Science6

Advisor

Fern, Xiaoli Z.3
Huang, Liang1
Lee, Stefan1
Li, Fuxin1
Wong, Weng Keen1

Commencement Year

Commencement Year range begin – Commencement Year range end

Current results range from 2014 to 2024

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Committee Member

Tadepalli, Prasad[remove]6
Huang, Liang2
Tyler, Brett2
Chen, Lizhong1
Fern, Alan1
more Committee Members »

Creator

Anderson, Michael M.1
Ghaeini, Reza1
Krantz, Jacob1
Li, Xingyi1
Obeidat, Rasha1
more Creators »

Contributor

Fern, Xiaoli Z.1
Li, Fuxin1
Qi, Zhongang1
Raich, Raviv1
Wu, Wenxuan1

Date

Date range begin – Date range end

Current results range from 2013 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 School1

Peer Reviewed

No6

Resource Type

Dissertation5
Masters Thesis1

Rights Statement

In Copyright6

Subject

Accelerometers -- Data processing1
Context-aware computing1
Hidden Markov models1
Time-series analysis1

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