Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Ilya Eckstein"'
Publikováno v:
NAACL-HLT
Knowledge-intensive tasks such as question answering often require assimilating information from different sections of large inputs such as books or article collections. We propose ReadTwice, a simple and effective technique that combines several str
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0eac85489298b7d916fc6376bffcc17
http://arxiv.org/abs/2105.04241
http://arxiv.org/abs/2105.04241
Autor:
Ilya Eckstein, Yury Zemlyanskiy, Sudeep Gandhe, Anirudh Ravula, Juraj Gottweis, Bhargav Kanagal, Ruining He, Fei Sha
Publikováno v:
EACL
This paper explores learning rich self-supervised entity representations from large amounts of the associated text. Once pre-trained, these models become applicable to multiple entity-centric tasks such as ranked retrieval, knowledge base completion,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::094c10a9de68867679c891bef703316a
https://doi.org/10.18653/v1/2021.eacl-main.217
https://doi.org/10.18653/v1/2021.eacl-main.217
Publikováno v:
Computer Graphics Forum. 29:2029-2038
A feature-oriented generic progressive lossless mesh coder (FOLProM) is proposed to encode triangular meshes with arbitrarily complex geometry and topology. In this work, a sequence of levels of detail (LODs) are generated through iterative vertex se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5430b23cbd28f0bbf375692bb4ea4a8e
https://doi.org/10.1111/j.1467-8659.2010.01789.x
https://doi.org/10.1111/j.1467-8659.2010.01789.x
Autor:
Ilya Eckstein, Katie L. McMahon, David W. Shattuck, Jason L. Stein, Paul M. Thompson, Greig I. de Zubicaray, Arthur W. Toga, Margaret J. Wright
Publikováno v:
NeuroImage. 47:T82-T89
Reliable quantitative analysis of white matter connectivity in the brain is an open problem in neuroimaging, with common solutions requiring tools for fiber tracking, tractography segmentation and estimation of intersubject correspondence. This paper
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c4e791cc4351749620d7e81519308a1
https://doi.org/10.1016/j.neuroimage.2009.01.065
https://doi.org/10.1016/j.neuroimage.2009.01.065
Publikováno v:
Computer Graphics Forum. 20:95-104
We show how to continuously map a texture onto a 3D triangle mesh when some of the mesh vertices are constrained to have given (u,v) coordinates. This problem arises frequently in interactive texture mapping applications and, to the best of our knowl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::976ad631c7e856bb7cbef4c2c7a51be3
https://doi.org/10.1111/1467-8659.00502
https://doi.org/10.1111/1467-8659.00502
Publikováno v:
Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007 ISBN: 9783540757566
MICCAI (1)
MICCAI (1)
Despite being routinely required in medical applications, deformable surface registration is notoriously difficult due to large intersubject variability and complex geometry of most medical datasets. We present a general and flexible deformable match
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::88787ad47a323e634dd8f760dd4d264b
https://doi.org/10.1007/978-3-540-75757-3_84
https://doi.org/10.1007/978-3-540-75757-3_84
Publikováno v:
SIGGRAPH Sketches
Surface fairing is a central geometry processing tool, routinely used for denoising and smoothing applications---see [Botsch et al. 2006], Chap. 7 for an overview of the extensive literature on the subject. A notorious shortcoming of basic fairing sc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b9285b3e49107da2b191cd14b94a87b
https://doi.org/10.1145/1278780.1278790
https://doi.org/10.1145/1278780.1278790
Publikováno v:
SIGGRAPH Sketches
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::080433ffc1d0e9381ac77d79c9cc2416
https://doi.org/10.1145/1179849.1180074
https://doi.org/10.1145/1179849.1180074