Search Results for author: P. Yu

Found 3 papers, 2 papers with code

Detection of the Crab Nebula with the 9.7 m Prototype Schwarzschild-Couder Telescope

no code implementations15 Dec 2020 C. B. Adams, R. Alfaro, G. Ambrosi, M. Ambrosio, C. Aramo, T. Arlen, P. I. Batista, W. Benbow, B. Bertucci, E. Bissaldi, J. Biteau, M. Bitossi, A. Boiano, C. Bonavolontà, R. Bose, A. Bouvier, A. Brill, A. M. Brown, J. H. Buckley, K. Byrum, R. A. Cameron, R. Canestrari, M. Capasso, M. Caprai, C. E. Covault, D. Depaoli, M. Errando, S. Fegan, Q. Feng, E. Fiandrini, G. Foote, P. Fortin, S. Funk, A. Furniss, F. Garfias, A. Gent, N. Giglietto, F. Giordano, E. Giro, M. M. González, V. Guarino, R. Halliday, O. Hervet, J. Holder, G. Hughes, T. B. Humensky, M. Ionica, A. Iriarte, W. Jin, C. A. Johnson, P. Kaaret, D. Kieda, B. Kim, A. Kuznetsov, J. S. Lapington, F. Licciulli, S. Loporchio, V. Mason, K. Meagher, T. Meures, B. A. W. Mode, S. A. I. Mognet, R. Mukherjee, T. Nguyen, D. Nieto, A. Okumura, N. Otte, N. La Palombara, F. R. Pantaleo, R. Paoletti, G. Pareschi, A. Petrashyk, F. Di Pierro, E. Pueschel, P. T. Reynolds, D. Ribeiro, G. Richards, E. Roache, D. Ross, J. Rousselle, A. Rugliancich, J. Ruíz-Díaz-Soto, M. Santander, S. Schlenstedt, M. Schneider, S. Scuderi, R. Shang, G. Sironi, B. Stevenson, L. Stiaccini, H. Tajima, L. P. Taylor, J. Thornhill, L. Tosti, G. Tovmassian, V. Vagelli, M. Valentino, J. Vandenbroucke, V. V. Vassiliev, L. Di Venere, S. P. Wakely, J. J. Watson, R. White, P. Wilcox, D. A. Williams, M. Wood, P. Yu, A. Zink

The Schwarzschild-Couder Telescope (SCT) is a telescope concept proposed for the Cherenkov Telescope Array.

Instrumentation and Methods for Astrophysics High Energy Astrophysical Phenomena

Heterogeneous Graph Attention Network

3 code implementations WWW 2019 2019 Xiao Wang, Houye Ji, Chuan Shi, Bai Wang, Peng Cui, P. Yu, Yanfang Ye

With the learned importance from both node-level and semantic-level attention, the importance of node and meta-path can be fully considered.

Social and Information Networks

Open-world Learning and Application to Product Classification

1 code implementation17 Sep 2018 Hu Xu, Bing Liu, Lei Shu, P. Yu

Classic supervised learning makes the closed-world assumption, meaning that classes seen in testing must have been seen in training.

Classification General Classification +1

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