Tensor algebra

Results: 286



#Item
161Computer vision / Image processing / Tensors / Differential operators / Differential geometry / Laplace operator / Vector space / Manifold / Metric tensor / Algebra / Mathematics / Mathematical analysis

Image Processing via the Beltrami Operator ? 1 R. Kimmel,1 R. Malladi,1 and N. Sochen2 Lawrence Berkeley National Laboratory University of California, Berkeley,

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Source URL: www.math.tau.ac.il

Language: English - Date: 2004-12-27 02:20:39
162Linear algebra / Quantum mechanics / Hilbert space / Vector space / Forcing / Lp space / Algebra / Mathematics / Operator theory

Parametric Uncertainty Computations with Tensor Product Representations Hermann G. Matthies A. Litvinenko, M. Meyer, O. Pajonk, B. Rosi´ c, E. Zander

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Source URL: math.nist.gov

Language: English - Date: 2011-08-15 13:45:38
163Lie algebras / Homological algebra / Lie groups / Motive / Derivation / Tensor algebra / Abstract algebra / Algebra / Algebraic geometry

Introduction Linearized double shuffle Anatomy of the motivic Lie algebra Eisenstein derivations Anatomy of the motivic Lie algebra

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Source URL: www.ihes.fr

Language: English - Date: 2013-04-19 05:08:21
164Tensors / Abstract algebra / Matrix theory / Singular value decomposition / Markov chain / Rank / Eigenvalues and eigenvectors / Matrix / Vector space / Algebra / Mathematics / Linear algebra

JMLR: Workshop and Conference Proceedings vol[removed]–62 A Tensor Spectral Approach to Learning Mixed Membership Community Models Animashree Anandkumar

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Source URL: www.cs.columbia.edu

Language: English - Date: 2014-11-25 10:45:19
165Probability and statistics / Mixture model / Latent Dirichlet allocation / Hidden Markov model / Topic model / Tensor product / Principal component analysis / Statistics / Algebra / Statistical natural language processing

Contrastive Learning Using Spectral Methods James Zou Harvard University Daniel Hsu

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Source URL: www.cs.columbia.edu

Language: English - Date: 2014-11-25 10:45:20
166Linear algebra / Functional analysis / Abstract algebra / Differential calculus / Matrix / Differential equation / Tensor / Euclidean vector / Generalizations of the derivative / Mathematics / Algebra / Mathematical analysis

Package ‘MCMCglmm’ July 2, 2014 Title MCMC Generalised Linear Mixed Models Version 2.21 Depends Matrix, coda, ape Imports corpcor, tensorA

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Source URL: cran.r-project.org

Language: English - Date: 2014-07-02 10:01:07
167Field theory / Algebraic number field / Sage / Cyclotomic field / Tensor product of fields / Ideal class group / Exponentiation / Field extension / Quadratic field / Abstract algebra / Algebra / Algebraic number theory

Sage Reference Manual: Algebraic Number Fields Release 6.3 The Sage Development Team

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Source URL: www.sagemath.org

Language: English - Date: 2014-11-16 14:58:20
168Abstract algebra / Vectors / Vector calculus / Euclidean vector / Sentiment analysis / Vector / Tensor / Matrix / Algebra / Mathematics / Linear algebra

Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank Richard Socher, Alex Perelygin, Jean Y. Wu, Jason Chuang, Christopher D. Manning, Andrew Y. Ng and Christopher Potts Stanford University, Stan

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Source URL: nlp.stanford.edu

Language: English - Date: 2013-09-17 17:57:42
169Tensors / Einstein notation / Levi-Civita symbol / Summation / Index notation / Permutation / Tensor / Kronecker delta / Array data structure / Mathematics / Algebra / Mathematical notation

1 PART 1: INTRODUCTION TO TENSOR CALCULUS A scalar field describes a one-to-one correspondence between a single scalar number and a point. An ndimensional vector field is described by a one-to-one correspondence between

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Source URL: www.math.odu.edu

Language: English - Date: 2001-04-18 16:05:35
170Vectors / Abstract algebra / Vector calculus / Tensors / Euclidean vector / Vector space / Dot product / Spherical coordinate system / Curvilinear coordinates / Algebra / Mathematics / Linear algebra

35 §1.2 TENSOR CONCEPTS AND TRANSFORMATIONS ~ as e2 , b e3 independent orthogonal unit vectors (base vectors), we may write any vector A For b

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Source URL: www.math.odu.edu

Language: English - Date: 2000-12-13 11:55:23
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