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Face recognition via sparse representation
(University of Missouri--Columbia, 2015)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Sparse representation has been successfully used for face recognition. The sparse representation classifier (SRC) can solve illumination variations, ...
Robust classification with convolutional neural networks
(University of Missouri--Columbia, 2015)
For image classification, I achieved the current state-of-the-art performance by using methods based on Convolutional Neural Networks (CNNs). Face image analysis requires both effective feature extraction and classifier ...
Investigation and analysis of image classification on large-scale benchmark datasets
(University of Missouri--Columbia, 2015)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] Image Classification nowadays, which including object recognition and scene classification, remains to be a major challenging task among computer ...
Fast object detection on raw depth images
(University of Missouri--Columbia, 2015)
[ACCESS RESTRICTED TO THE UNIVERSITY OF MISSOURI AT REQUEST OF AUTHOR.] We propose an effective object detection system which is able to localize object in real time and outperforms the state-of-the-art results on standard ...