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Yu-Chiang Frank Wang
PhD Candidate at Carnegie Mellon Univ
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Publications (5)
Proceedings Article | 10 September 2007 Paper
New design method for a hierarchical SVM-based classifier
Yu-Chiang Frank Wang, David Casasent
Proceedings Volume 6764, 676402 (2007) https://doi.org/10.1117/12.731424
KEYWORDS: Binary data, Databases, Visualization, Optical spheres, Structural design, Computer programming, Nonlinear filtering, Pattern recognition, Target designation, Electrochemical etching
Proceedings Article | 9 April 2007 Paper
A new SVM for scale, aspect, and depression angle tolerant IR object recognition
Yu-Chiang Frank Wang, David Casasent
Proceedings Volume 6574, 657408 (2007) https://doi.org/10.1117/12.715192
KEYWORDS: Tolerancing, Computer aided design, Automatic target recognition, Infrared imaging, Target recognition, Databases, Thermography, Sensors, Data modeling, Object recognition
Proceedings Article | 25 October 2005 Paper
New hierarchical SVM classifier for multi-class target recognition
Yu-Chiang Wang, David Casasent
Proceedings Volume 6006, 60060Y (2005) https://doi.org/10.1117/12.637221
KEYWORDS: Databases, Binary data, Detection and tracking algorithms, Optical spheres, Automatic target recognition, Target recognition, Fourier transforms, Image classification, Nonlinear filtering, Infrared imaging
Proceedings Article | 28 March 2005 Paper
Multimodal biometric fusion using data quality information
Yu-Chiang Wang, David Casasent
Proceedings Volume 5816, (2005) https://doi.org/10.1117/12.611931
KEYWORDS: Biometrics, Data fusion, Databases, Image fusion, Lawrencium, Facial recognition systems, Data modeling, Feature extraction, Principal component analysis, Binary data
Proceedings Article | 25 October 2004 Paper
New distortion-invariant SVRDM hierarchical classifier
David Casasent, Yu-Chiang Wang
Proceedings Volume 5608, (2004) https://doi.org/10.1117/12.593037
KEYWORDS: Databases, Automatic target recognition, Sensors, Target recognition, Feature extraction, Fourier transforms, Spatial frequencies, Target detection, Intelligence systems, Nonlinear filtering
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