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pro vyhledávání: '"Kim, Edward J."'
Image reconstruction of low-count positron emission tomography (PET) data is challenging. Kernel methods address the challenge by incorporating image prior information in the forward model of iterative PET image reconstruction. The kernelized expecta
Externí odkaz:
http://arxiv.org/abs/2201.01443
The increasing amount of data in astronomy provides great challenges for machine learning research. Previously, supervised learning methods achieved satisfactory recognition accuracy for the star-galaxy classification task, based on manually labeled
Externí odkaz:
http://arxiv.org/abs/1910.14056
Autor:
Kim, Edward J., Brunner, Robert J.
Most existing star-galaxy classifiers use the reduced summary information from catalogs, requiring careful feature extraction and selection. The latest advances in machine learning that use deep convolutional neural networks allow a machine to automa
Externí odkaz:
http://arxiv.org/abs/1608.04369
Autor:
Brunner, Robert J., Kim, Edward J.
We describe an introductory data science course, entitled Introduction to Data Science, offered at the University of Illinois at Urbana-Champaign. The course introduced general programming concepts by using the Python programming language with an emp
Externí odkaz:
http://arxiv.org/abs/1604.07397
Publikováno v:
MNRAS 2015 453 (1): 507-521
There exist a variety of star-galaxy classification techniques, each with their own strengths and weaknesses. In this paper, we present a novel meta-classification framework that combines and fully exploits different techniques to produce a more robu
Externí odkaz:
http://arxiv.org/abs/1505.02200
Autor:
Chen, Haihui, Nguyen, Ky Nam Bao, Huang, Haixin, Feng, Chengjun, Zhao, Xiao, Daly, Megan E., Rao, Shyam, Fragoso, Ruben, Valicenti, Richard, Sekhon, Simran, Navarro, Shannon M., Kim, Edward J., Cho, May, Tam, Kit, Farkas, Linda, Halabi, Wissam J., Monjazeb, Arta M., Rong, Yi
Publikováno v:
In Practical Radiation Oncology September-October 2020 10(5):e372-e377
Autor:
Kim, Richard D., McDonough, Shannon, El-Khoueiry, Anthony B., Bekaii-Saab, Tanios S., Stein, Stacey M., Sahai, Vaibhav, Keogh, George P., Kim, Edward J., Baron, Ari D., Siegel, Abby B., Barzi, Afsaneh, Guthrie, Katherine A., Javle, Milind, Hochster, Howard
Publikováno v:
In European Journal of Cancer May 2020 130:219-227
Autor:
Philip, Philip A *, Lacy, Jill, Portales, Fabienne, Sobrero, Alberto, Pazo-Cid, Roberto, Manzano Mozo, José L, Kim, Edward J, Dowden, Scot, Zakari, Ahmed, Borg, Christophe, Terrebonne, Eric, Rivera, Fernando, Sastre, Javier, Bathini, Venu, López-Trabada, Daniel, Asselah, Jamil, Saif, Muhammad Wasif, Shiansong Li, Jack, Ong, Teng Jin, Nydam, Thomas, Hammel, Pascal
Publikováno v:
In The Lancet Gastroenterology & Hepatology March 2020 5(3):285-294
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We investigate the cosmology of massive spinor electrodynamics when torsion is non-vanishing. A non-minimal interaction is introduced between the torsion and the vector field and the coupling constant between them plays an important role in subsequen
Externí odkaz:
http://arxiv.org/abs/1305.4438