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Filtering by: Creator Williams, Jordan Remove constraint Creator: Williams, Jordan Degree Level Master's Remove constraint Degree Level: Master's Subject Machine learning Remove constraint Subject: Machine learning

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Improving robotic grasping performance using machine learning techniques

Creator:

Goins, Alex Keith

Abstract:

Robots are being utilized in ever more complex tasks and environments to help humans with difficult or dangerous tasks. However, robotic grasping is still in its infancy and is one of the limiting factors which prevent the deployment of robots in the home and other assisted living scenarios. Traditional methods...

Resource Type:

Masters Thesis

Full Text:

who helped with the data processing and analysis. Also, Jordan Meader who helped with a lot of the
Learning multiple non-redundant codebooks with word clustering for document classification

Creator:

Surve, Akshat Sudhakar

Abstract:

The problem of document classification has been widely studied in machine learning and data mining. In document classification, most of the popular algorithms are based on the bag-of-words representation. Due to the high dimensionality of the bag-of-words representation, significant research has been conducted to reduce the dimensionality via different approaches....

Resource Type:

Masters Thesis
A study of methods for fine-grained object classification of arthropod specimens

Creator:

Lin, Junyuan

Abstract:

Object categorization is one of the fundamental topics in computer vision research. Most current work in object categorization aims to discriminate among generic object classes with gross differences. However, many applications require much finer distinctions. This thesis focuses on the design, evaluation and analysis of learning algorithms for fine- grained...

Resource Type:

Masters Thesis
Predictive mapping of landtype association maps in three Oregon national forests

Creator:

Peterman, Wendy L.

Abstract:

This study explores the use of predictive mapping techniques in developing Landtype Association (LTA) maps for use in natural resource management. These maps are produced for the USDA Forest Service on a regional basis at a 1:100,000 scale. The goal of this study is to develop and test a method...

Resource Type:

Masters Thesis

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Academic Affiliation

Electrical Engineering and Computer Science2
Crop and Soil Science1
Mechanical, Industrial, and Manufacturing Engineering1

Advisor

Balasubramanian, Ravi1
Dietterich, Thomas G.1
Fern, Xiaoli1
Noller, Jay1

Commencement Year

Commencement Year range begin – Commencement Year range end

Current results range from 2010 to 2014

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Committee Member

Coop, Len1
Dragila, Maria1
Fern, Alan1
Fern, Xiaoli1
Hurst, Jonathan1
more Committee Members »

Creator

Goins, Alex Keith1
Lin, Junyuan1
Peterman, Wendy L.1
Surve, Akshat Sudhakar1

Date

Date range begin – Date range end

Current results range from 2009 to 2014

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Decade

2010-20193
2000-20091

Degree Field

Computer Science2
Mechanical Engineering1
Soil Science1

Degree Level

Master's[remove]4

Degree Name

Master of Science (M.S.)4

Language

English [eng]4

License

All rights reserved4

Non-Academic Affiliation

Oregon State University. Graduate School4

Peer Reviewed

No4

Resource Type

Masters Thesis4

Rights Statement

In Copyright4

Subject

Machine learning[remove]4
Arthropoda -- Identification -- Computer programs1
Biotic communities -- Oregon1
Computational linguistics1
Computer vision1
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