Results 11 to 20 of about 71,799 (220)
SCENE CLASSIFICATION BASED ON THE INTRINSIC MEAN OF LIE GROUP [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Remote Sensing scene classification aims to identify semantic objects with similar characteristics from high resolution images. Even though existing methods have achieved satisfactory performance, the features used for classification modeling are still ...
C. Xu, G. Zhu, K. Yang
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Primitive stable representations in higher rank semisimple Lie groups [PDF]
Revista Matemática Complutense, 2020 We add some details concerning Corollary 1.6, revise the proof of Proposition 5.3 and correct ...
Inkang Kim, Sungwoon Kim
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On some algebraic formulations within universal enveloping algebras related to superintegrability
Acta Polytechnica, 2022 We report on some recent purely algebraic approaches to superintegrable systems from the perspective of subspaces of commuting polynomials in the enveloping algebras of Lie algebras that generate quadratic (and eventually higher-order) algebras.
Rutwig Campoamor-Stursberg
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Remote Sensing, 2022 Discriminative feature learning is the key to remote sensing scene classification. Previous research has found that most of the existing convolutional neural networks (CNN) focus on the global semantic features and ignore shallower features (low-level ...
Chengjun Xu, Guobin Zhu, Jingqian Shu
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INTEGRABLE MODELS AND THE HIGHER DIMENSIONAL REPRESENTATIONS OF GRADED LIE ALGEBRAS [PDF]
Modern Physics Letters A, 1998 We construct a zero curvature formulation, in superspace, for the sTB-B hierarchy which naturally reduces to the zero curvature condition in terms of components, thus solving one of the puzzling features of this model. This analysis, further, suggests a systematic method of constructing higher dimensional representations for the zero curvature ...
Brunelli, J. C., Das, Ashok
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Fock representation of the renormalized higher powers of White noise and the centreless Virasoro (or Witt)-Zamolodchikov-omega(infinity)*-Lie algebra [PDF]
Journal of Physics A: Mathematical and Theoretical, 2008 The identification of the *-Lie algebra of the renormalized higher powers of White noise (RHPWN) and the analytic continuation of the second quantized centreless Virasoro (or Witt)-Zamolodchikov-omega(infinity)*-Lie algebra of conformal field theory and high-energy physics, was recently established in [5] based on results obtained in [3] and [4].
ACCARDI, LUIGI, Boukas, A.
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SO(10): A case for hadron colliders
Physics Letters B, 2023 We study the mass scales in the SO(10) grand unified theory based on the following minimal Higgs representation content: adjoint 45H, spinor 16H and complex vector 10H, with higher dimensional operators on top of renormalizable interactions.
Anca Preda +2 more
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Survey on Lie Group Machine Learning
Big Data Mining and Analytics, 2020 Lie group machine learning is recognized as the theoretical basis of brain intelligence, brain learning, higher machine learning, and higher artificial intelligence. Sample sets of Lie group matrices are widely available in practical applications.
Mei Lu, Fanzhang Li
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Higher deformations of Lie algebra representations I [PDF]
Journal of the Mathematical Society of Japan, 2020 Steinberg’s tensor product theorem shows that for semisimple algebraic groups, the study of irreducible representations of higher Frobenius kernels reduces to the study of irreducible representations of the first Frobenius kernel. In the preceding paper in this series, deforming the distribution algebra of a higher Frobenius kernel yielded a family of ...
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Chern–Simons Forms and Higher Character Maps of Lie Representations [PDF]
International Mathematics Research Notices, 2016 This paper is a sequel to our earlier work [BFPRW], where we study the derived representation scheme DRep_{g}(A) parametrizing the representations of a Lie algebra A in a finite-dimensional reductive Lie algebra g. In [BFPRW], we defined two canonical maps Tr_{g}(A): HC^{(r)}(A) \to \H[\DRep_{g}(A)]^G and Φ_{g}(A): H[\DRep_{g}(A)]^G \to H[\DRep_{h}(A)]^
Berest, Yuri +4 more
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