Zobrazeno 1 - 9
of 9
pro vyhledávání: '"Geremy Heitz"'
Publikováno v:
Journal of Structural Biology. 170:134-145
Cryogenic electron tomography (cryo-ET) has gained increasing interest in recent years due to its ability to image whole cells and subcellular structures in 3D at nanometer resolution in their native environment. However, due to dose restrictions and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5ee493d41f4d1a9eb5c1a495ec1436d1
https://doi.org/10.1016/j.jsb.2009.12.015
https://doi.org/10.1016/j.jsb.2009.12.015
Publikováno v:
NIPS
Discriminative tasks, including object categorization and detection, are central components of high-level computer vision. However, sometimes we are interested in a finer-grained characterization of the object's properties, such as its pose or articu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::44da5f8318c668c4763f23306a979192
https://doi.org/10.1007/s11263-009-0228-y
https://doi.org/10.1007/s11263-009-0228-y
Autor:
Shaohua Sun, Geremy Heitz, Xin Luna Dong, Evgeniy Gabrilovich, Kevin Murphy, Wei Zhang, Wilko Horn
The task of {\em data fusion} is to identify the true values of data items (eg, the true date of birth for {\em Tom Cruise}) among multiple observed values drawn from different sources (eg, Web sites) of varying (and unknown) reliability. A recent su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4fe8408176c3875d67ee17f5c870040
Publikováno v:
CIKM
CIKM, Nov 2014, Shanghai, France. ⟨10.1145/2661829.2662073⟩
CIKM, Nov 2014, Shanghai, France. ⟨10.1145/2661829.2662073⟩
International audience; Open information extraction approaches have led to the creation of large knowledge bases from the Web. The problem with such methods is that their entities and relations are not canonicalized, leading to redundant and ambiguou
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4c43a643edffb9931d7b3b95c0403b87
https://hal-imt.archives-ouvertes.fr/hal-01699884/file/cikm2014.pdf
https://hal-imt.archives-ouvertes.fr/hal-01699884/file/cikm2014.pdf
Autor:
Evgeniy Gabrilovich, Xin Dong, Wilko Horn, Shaohua Sun, Wei Zhang, Geremy Heitz, Ni Lao, Thomas Strohmann, Kevin Murphy
Publikováno v:
KDD
Recent years have witnessed a proliferation of large-scale knowledge bases, including Wikipedia, Freebase, YAGO, Microsoft's Satori, and Google's Knowledge Graph. To increase the scale even further, we need to explore automatic methods for constructi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::df096f031d06cb19647a27bec07f01d8
https://doi.org/10.1145/2623330.2623623
https://doi.org/10.1145/2623330.2623623
Autor:
Gal Chechik, Geremy Heitz
Publikováno v:
CVPR
In the segmentation of natural images, most algorithms rely on the concept of occlusion. In x-ray images, however, this assumption is violated, since x-ray photons penetrate most materials. In this paper, we introduce SATISφ, a method for separating
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::85aba0eafab7246e0924b7d60d73a644
https://doi.org/10.1109/cvpr.2010.5539887
https://doi.org/10.1109/cvpr.2010.5539887
Autor:
Daphne Koller, Geremy Heitz
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540886815
ECCV (1)
ECCV (1)
The sliding window approach of detecting rigid objects (such as cars) is predicated on the belief that the object can be identified from the appearance in a small region around the object. Other types of objects of amorphous spatial extent (e.g., tre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::485449538150c43575297280cba2bcec
https://doi.org/10.1007/978-3-540-88682-2_4
https://doi.org/10.1007/978-3-540-88682-2_4
Publikováno v:
CVPR (2)
We consider the important challenge of recognizing a variety of deformable object classes in images. Of fundamental importance and particular difficulty in this setting is the problem of "outlining" an object, rather than simply deciding on its prese
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::73dc9ffa98b0475be2dcd3066cf0a01a
https://doi.org/10.1109/cvpr.2006.171
https://doi.org/10.1109/cvpr.2006.171
Autor:
B. Taskarf, Andrew Y. Ng, Divya Gupta, Geremy Heitz, Dragomir Anguelov, Daphne Koller, Vassil Chatalbashev
Publikováno v:
CVPR (2)
We address the problem of segmenting 3D scan data into objects or object classes. Our segmentation framework is based on a subclass of Markov random fields (MRFs) which support efficient graph-cut inference. The MRF models incorporate a large set of
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c214de418c26d42b0bf0ce9b8d11da24
https://doi.org/10.1109/cvpr.2005.133
https://doi.org/10.1109/cvpr.2005.133