Results 1 to 10 of about 139,982 (262)
Density Matrix Renormalization Group Study of Ultrasmall Superconducting Grains [PDF]
Physical Review Letters, 1999 We apply the DMRG method to the BCS pairing Hamiltonian which describes ultrasmall superconducting grains. Our version of the DMRG uses the particle (hole) states around the Fermi level as the system block (environment). We observe a smooth logarithmic-like crossover between the few electron regime and the BCS-bulk regime.
Dukelsky, Jorge, Sierra, Germán
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A note on coarse graining and group representations [PDF]
Classical and Quantum Gravity, 2021 Abstract A coarse graining operation of spatially homogeneous quantum states based on an SU(1,1) Lie group structure has recently been proposed in (Bodendorfer and Haneder 2019 Phys. Lett. B 792 69–73) and used in (Bodendorfer and ...
Norbert Bodendorfer, Fabian Haneder
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Fine-Grained View on Bribery for Group Identification [PDF]
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020 Given a set of individuals qualifying or disqualifying each other, group identification is the task of identifying a socially qualified subgroup of individuals. Social qualification depends on the specific rule used to aggregate individual qualifications.
Niclas Boehmer +3 more
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Learning to group and label fine-grained shape components [PDF]
ACM Transactions on Graphics, 2018 A majority of stock 3D models in modern shape repositories are assembled with many fine-grained components. The main cause of such data form is the component-wise modeling process widely practiced by human modelers. These modeling components thus inherently reflect some function-based shape decomposition the artist had in mind during modeling.
Xiaogang Wang 0005 +5 more
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Improving apparel detection with category grouping and multi-grained branches
Multimedia Tools and Applications, 2022 Training an accurate object detector is expensive and time-consuming. One main reason lies in the laborious labeling process, i.e., annotating category and bounding box information for all instances in every image. In this paper, we examine ways to improve performance of deep object detectors without extra labeling.
Qing Tian 0003 +3 more
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Group Reidentification with Multigrained Matching and Integration [PDF]
IEEE Transactions on Cybernetics, 2021 14 pages, 10 figures, to appear in IEEE transaction on ...
Weiyao Lin +7 more
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Group-valued measures on coarse-grained quantum logics [PDF]
Czechoslovak Mathematical Journal, 2007 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
DE SIMONE, ANNA, PTAK P.
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Coarse graining and renormalization group in the Einstein universe [PDF]
Physical Review D, 1995 The Kadanoff-Wilson renormalization group approach for a scalar self-interacting field theor generally coupled with gravity is presented. An average potential that monitors the fluctuations of the blocked field in different scaling regimes is constructed in a nonflat background and explicitly computed within the loop-expansion approximation for an ...
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Interpretable and Accurate Fine-grained Recognition via Region Grouping [PDF]
2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 We present an interpretable deep model for fine-grained visual recognition. At the core of our method lies the integration of region-based part discovery and attribution within a deep neural network. Our model is trained using image-level object labels, and provides an interpretation of its results via the segmentation of object parts and the ...
Zixuan Huang 0001, Yin Li 0003
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Functional Molecular Groups on Interstellar Grains
The Astrophysical Journal, 2001 Chemical routes in the synthesis of large interstellar molecules are quite obscure, but interstellar grains are believed to play a significant role. We suggest that functional molecular groups (e.g., OH, CH, CH2, CH3, NH2, etc.) on grain surfaces may provide the precursor basis for ensuing grain chemistries that produce complex molecules.
J. M. Hollis, E. Churchwell
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