Výsledky vyhledávání - "Chang, Hyun Sung"

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Learning with Noisy Labels: Interconnection of Two Expectation-Maximizations

Autor: Kim, Heewon, Chang, Hyun Sung, Cho, Kiho, Lee, Jaeyun, Han, Bohyung

Labor-intensive labeling becomes a bottleneck in developing computer vision algorithms based on deep learning. For this reason, dealing with imperfect labels has increasingly gained attention and has become an active field of study. We address learni

Externí odkaz: http://arxiv.org/abs/2401.04390

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3D Display Calibration by Visual Pattern Analysis

Autor: Hwang, Hyoseok, Chang, Hyun Sung, Nam, Dongkyung, Kweon, In So

Nearly all 3D displays need calibration for correct rendering. More often than not, the optical elements in a 3D display are misaligned from the designed parameter setting. As a result, 3D magic does not perform well as intended. The observed images

Externí odkaz: http://arxiv.org/abs/1606.07166

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Dissertation/ Thesis

Informative sensing : theory and applications

Autor: Chang, Hyun Sung

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2012.
Cataloged from PDF version of thesis.
Includes bibliographical references (p. 145-156).
Compressed sensing is a recent

Externí odkaz: http://hdl.handle.net/1721.1/74890

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Informative Sensing

Autor: Chang, Hyun Sung, Weiss, Yair, Freeman, William T.

Compressed sensing is a recent set of mathematical results showing that sparse signals can be exactly reconstructed from a small number of linear measurements. Interestingly, for ideal sparse signals with no measurement noise, random measurements all

Externí odkaz: http://arxiv.org/abs/0901.4275

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Akademický článek

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Akademický článek

Differential Control Efficacies of Vitamin Treatments against Bacterial Wilt and Grey Mould Diseases in Tomato Plants

Autor: Jeum Kyu Hong, Hyeon Ji Kim, Heesoo Jung, Hye Ji Yang, Do Hoon Kim, Chang Hyun Sung, Chang-Jin Park, Seog Won Chang

Publikováno v: The Plant Pathology Journal, Vol 32, Iss 5, Pp 469-480 (2016)

Bacterial wilt and grey mould in tomato plants are economically destructive bacterial and fungal diseases caused by Ralstonia solanacearum and Botrytis cinerea, respectively. Various approaches including chemical and biological controls have been att

Externí odkaz: https://doaj.org/article/f954140fed70448e82e7b9df17fd02bb

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Akademický článek

Hydrogen Peroxide- and Nitric Oxide-mediated Disease Control of Bacterial Wilt in Tomato Plants

Autor: Jeum Kyu Hong, Su Ran Kang, Yeon Hwa Kim, Dong June Yoon, Do Hoon Kim, Hyeon Ji Kim, Chang Hyun Sung, Han Sol Kang, Chang Won Choi, Seong Hwan Kim, Young Shik Kim

Publikováno v: The Plant Pathology Journal, Vol 29, Iss 4, Pp 386-396 (2013)

Reactive oxygen species (ROS) generation in tomato plants by Ralstonia solanacearum infection and the role of hydrogen peroxide (H₂O₂) and nitric oxide in tomato bacterial wilt control were demonstrated. During disease development of tomato bacte

Externí odkaz: https://doaj.org/article/8669e891ba074a3a9c7a5deb72ab1d42

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