Ryan R. McCoppin
Graduate Research Assistant at Wright State Univ
SPIE Involvement:
Author
Area of Expertise:
Machine Learning , Artificial Intelligence , Computer Vision , Deep learning
Profile Summary

For the past few years I have been working on the gender classification problem in EO and LIDAR mediums. I am interested in theory of computer science and machine learning and its implications on future learning techniques and AI. I am especially fond of stochastic methods of learning and physics-inspired computation.
Publications (3)

Proceedings Article | 10 June 2014 Paper
Proc. SPIE. 9079, Ground/Air Multisensor Interoperability, Integration, and Networking for Persistent ISR V
KEYWORDS: Convolutional neural networks, Data modeling, Databases, Feature extraction, Machine learning, Image classification, Electro optics, Binary data, Standards development, Classification systems

Proceedings Article | 28 May 2013 Paper
Proc. SPIE. 8751, Machine Intelligence and Bio-inspired Computation: Theory and Applications VII
KEYWORDS: Human subjects, Data modeling, Cameras, Databases, Image registration, Machine learning, Image classification, Electro optics, Algorithm development, Classification systems

Proceedings Article | 9 May 2012 Paper
Proc. SPIE. 8402, Evolutionary and Bio-Inspired Computation: Theory and Applications VI
KEYWORDS: Genetic algorithms, Human subjects, Cameras, LIDAR, Databases, Clouds, Feature extraction, Image classification, Analytical research, Algorithm development

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