Search Results - "Jang, Giljin"

Glaucomatous patterns in Frequency Doubling Technology (FDT) perimetry data identified by unsupervised machine learning classifiers by Bowd, Christopher, Weinreb, Robert N, Balasubramanian, Madhusudhanan, Lee, Intae, Jang, Giljin, Yousefi, Siamak, Zangwill, Linda M, Medeiros, Felipe A, Girkin, Christopher A, Liebmann, Jeffrey M, Goldbaum, Michael H

“…The variational Bayesian independent component analysis-mixture model (VIM), an unsupervised machine-learning classifier, was used to automatically separate…”
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Adaptive driver assistance system based on Traffic Information Saliency Map by Jihun Kim, Seonggyu Kim, Mallipeddi, Rammohan, Giljin Jang, Minho Lee

“…In this paper, we propose a framework that can prevent accidents due to careless or inattentive driving by providing the necessary traffic information to the…”
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Progression of patterns (POP): a machine classifier algorithm to identify glaucoma progression in visual fields by Goldbaum, Michael H, Lee, Intae, Jang, Giljin, Balasubramanian, Madhusudhanan, Sample, Pamela A, Weinreb, Robert N, Liebmann, Jeffrey M, Girkin, Christopher A, Anderson, Douglas R, Zangwill, Linda M, Fredette, Marie-Josee, Jung, Tzyy-Ping, Medeiros, Felipe A, Bowd, Christopher

“…We evaluated Progression of Patterns (POP) for its ability to identify progression of glaucomatous visual field (VF) defects. POP uses variational Bayesian…”
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Glaucomatous Patterns in Frequency Doubling Technology by Bowd, Christopher, Weinreb, Robert N, Balasubramanian, Madhusudhanan, Lee, Intae, Jang, Giljin, Yousefi, Siamak, Zangwill, Linda M, Medeiros, Felipe A, Girkin, Christopher A, Liebmann, Jeffrey M, Goldbaum, Michael H

“…Purpose The variational Bayesian independent component analysis-mixture model (VIM), an unsupervised machine-learning classifier, was used to automatically…”
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Audio Source Separation Using a Deep Autoencoder by Jang, Giljin, Kim, Han-Gyu, Oh, Yung-Hwan

“…This paper proposes a novel framework for unsupervised audio source separation using a deep autoencoder. The characteristics of unknown source signals mixed in…”
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