Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Alex Fit-Florea"'
Publikováno v:
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
Autor:
Ricardo Morin, Alex Fit-Florea, Anthony Wood, Marius Cornea, Marc Daumas, Jason Riedy, Steven R. Carlough, Stuart Oberman, Jon Okada, Paul Zimmermann, Tom Pittman, John Hauser, Chris N. Hinds, Chip Freitag, Mahesh Bhat, Graydon Hoare, Matthew Applegate, M. F. Cowlishaw, David Bindel, Sylvie Boldo, Chuck Stevens, David H. Bailey, James W. Thomas, Stephen Canon, Don Senzig, Umit Yalcinalp, Yozo Hida, David Scott, Brandon Thompson, Pamela J. Taylor, Michel Hack, Jeff Kidder, Laurent Fournier, Richard J. Fateman, Ron Smith, Neil Toda, Liang Wang, David Gustafson, Ivan Godard, Plamen Koev, Craig Nelson, Roger A. Golliver, Ren-Cang Li, Rick James, J. P. Fasano, John Kapernick, David W. Matula, Ian Ollmann, Michael Siu, Peter Markstein, Jerry Huck, Dileep Bhandarkar, John H. Crawford, Peter Tang, Dan Zuras, Mark A. Erle, Scott Westbrook, Fred Zemke, Warren E. Ferguson, Raymond Mak, David G. Hough, Wendy Thrash, David V. James, Guillaume Melquiond, Steve Winkler, Richard Karpinski, Mark Davis, Zhishun A. Liu, James Demmel, Bob Davis, Eric Feng, Leonard Tsai, Steve Bass, William Kahan, Michael Parks, Jim Hull, John R. Harrison, Nobuyoshi Mori, Fred Tydeman, Dick Delp, Joseph D. Darcy, Debjit Das Sarma, Eric M. Schwarz, Ilya Sharapov, Ned Nedialkov, Eric Postpischil, Michael Ingrassia, Son Dao Trong, Jim Shearer, Charles Tsen, Alex Aiken, Hossam A. H. Fahmy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fc6e5cdbb221dff0bdcb314ff3a21cd9
https://doi.org/10.1109/ieeestd.2008.4610935
https://doi.org/10.1109/ieeestd.2008.4610935
Publikováno v:
ASAP
We describe several integer function properties which in combination allow direct lookup tables to be reduced in size and structure to simpler lookup trees. Our principal result is a novel table lookup method based on a mapping of a lookup tree to a
Autor:
Vasile Rus, Alex Fit-Florea
Publikováno v:
PRICAI 2004: Trends in Artificial Intelligence ISBN: 9783540228172
PRICAI
PRICAI
This paper introduces a model for identifying the underlying logical arguments, such as logical subject, of predicates, namely verbs, in sentences. The model's features are selected based on lexico-syntactic and shallow semantic principles. Reported
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::77f551c0fe3aa6415cf8e5a34a46a3db
https://doi.org/10.1007/978-3-540-28633-2_122
https://doi.org/10.1007/978-3-540-28633-2_122
Publikováno v:
ASAP
Many function approximation procedures can obtain enhanced accuracy by an efficient table lookup of a product z=f(x)g(y). Both x and y are represented by indices of i leading bits (typically 7