Zobrazeno 1 - 10
of 876
pro vyhledávání: '"Robinson, Joseph"'
Autor:
Zhang, Hao, Gilevich, Sasha, Miahnahri, Alan, Alverson, Shawn, Brachmann, Axel, Duris, Joseph, Franz, Paris, Fry, Alan, Hirschman, Jack, Larsen, Kirk, Lemons, Randy, Li, Siqi, Lu, Brittany, Marinelli, Agostino, Martinez, Mikael, May, Justin, Milshtein, Erel, Murari, Krishna, Neveu, Nicole, Robinson, Joseph, Schmerge, John, Sun, Linshan, Vecchione, Theodore, Xu, Chengcheng, Zhou, Feng, Carbajo, Sergio
This paper presents a comprehensive technical overview of the Linac Coherent Light Source II (LCLS-II) photoinjector laser system, its first and foremost component. The LCLS-II photoinjector laser system serves as an upgrade to the original LCLS at S
Externí odkaz:
http://arxiv.org/abs/2307.12030
Thesis: S.M. in Engineering and Management, Massachusetts Institute of Technology, System Design and Management Program, February, 2021
Cataloged from the official version of thesis.
Includes bibliographical references (pages 201-209).
Cataloged from the official version of thesis.
Includes bibliographical references (pages 201-209).
Externí odkaz:
https://hdl.handle.net/1721.1/132894
Autor:
Robinson, Joseph1 (AUTHOR), Teuliere, Jerome1 (AUTHOR), Yoo, Shinja1 (AUTHOR), Garriga, Gian1 (AUTHOR) garriga@berkeley.edu
Publikováno v:
PLoS ONE. 5/25/2024, Vol. 19 Issue 5, p1-20. 20p.
Recognizing Families In the Wild (RFIW), held as a data challenge in conjunction with the 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG), is a large-scale, multi-track visual kinship recognition evaluation. For the
Externí odkaz:
http://arxiv.org/abs/2111.00598
Autor:
Kearns, Gerry, Rowan, Rory, Dowler, Lorraine, Moore, Enya, Robinson, Joseph S., McVeigh, Robbie
Publikováno v:
In Journal of Historical Geography June 2024 84:150-153
There are demographic biases present in current facial recognition (FR) models. To measure these biases across different ethnic and gender subgroups, we introduce our Balanced Faces in the Wild (BFW) dataset. This dataset allows for the characterizat
Externí odkaz:
http://arxiv.org/abs/2103.09118
Autor:
Robinson, Joseph P
We built the largest database for kinship recognition. The data were labeled using a novel clustering algorithm that used label proposals as side information to guide more accurate clusters. Great savings in time and human input was had. Statisticall
Externí odkaz:
http://arxiv.org/abs/2102.08941