High-Dimensional Data Analysis with Low-Dimensional Models

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High-Dimensional Data Analysis with...

High-Dimensional Data Analysis with Low-Dimensional Models

John Wright, Yi Ma

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Έτος:

2022

Εκδότης:

Cambridge University Press

Γλώσσα:

english

Σελίδες:

650

ISBN 10:

1108489737

ISBN 13:

9781108489737

Αρχείο:

PDF, 70.17 MB

IPFS:

,

english, 2022

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Ίσως σας ενδιαφέρει

John Wright, Yi Ma — High-Dimensional Data Analysis with Low-Dimensional Models: Principles, Computation, and Applications

Kutyniok, Gitta Eldar, Yonina C. — Compressed Sensing : Theory and Applications

unknown — IEEE Signal Processing Magazine

Simon Foucart & Stephen Wojtowytsch (Editors) — Explorations in the Mathematics of Data Science: The Inaugural Volume of the Center for Approximation and Mathematical Data Anaysis

Massimo Fornasier — Theoretical Foundations and Numerical Methods for Sparse Recovery (Radon Series on Computational and Applied Mathematics)

Edward J. Beltrami (Eds.) — An Algorithmic Approach to Nonlinear Analysis and Optimization

Suvrit Sra, Sebastian Nowozin, Stephen J. Wright — Optimization for Machine Learning (Neural Information Processing series)

René Vidal, Yi Ma, Shankar Sastry — Generalized Principal Component Analysis

Majumdar Angshul — Compressed sensing for engineers

Simon Foucart, Holger Rauhut (auth.) — A Mathematical Introduction to Compressive Sensing

Werner C. Rheinboldt — Methods for solving systems of nonlinear equations

Curtis R. Vogel — Computational methods for inverse problems

STEVEN L. BRUNTON — Machine Learning, Dynamical Systems, and Control

Eldar Y.C., Kutyniok G. (eds.) — Compressed Sensing: Theory and Applications

J. Nathan Kutz, Steven L. Brunton — Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Steven L. Brunton, J. Nathan Kutz — Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control

Vishnoi, Nisheeth K. — Algorithms for Convex Optimization

Yun-Bin Zhao — Sparse Optimization Theory and Methods

Zhu Han, Husheng Li, Wotao Yin — Compressive Sensing for Wireless Networks

Simon Foucart — Mathematical Pictures at a Data Science Exhibition

Irina Rish, Genady Grabarnik — Sparse Modeling: Theory, Algorithms, and Applications

Irina Rish; Genady Ya Grabarnik — Sparse modeling : theory, algorithms, and applications

Hong Cheng — Sparse Representation, Modeling and Learning in Visual Recognition: Theory, Algorithms and Applications

Michael W. Mahoney, John C. Duchi, Anna C. Gilbert — The Mathematics of Data

Hastie, Trevor — Statistical learning with sparsity : the lasso and generalizations.

MIng-jun Lai — Sparse Solutions of Underdetermined Linear Systems and Their Applications

Dimitri P. Bertsekas — Convex Optimization Algorithms (for Algorithmix)

Fornasier M. (ed.) — Theoretical foundations and numerical methods for sparse recovery

Massimo Fornasier (editor) — Theoretical Foundations and Numerical Methods for Sparse Recovery

Xue-Cheng Tai, Egil Bae, Tony F. Chan, Marius Lysaker (eds.) — Energy Minimization Methods in Computer Vision and Pattern Recognition: 10th International Conference, EMMCVPR 2015, Hong Kong, China, January 13-16, 2015. Proceedings

Nedic A — Multi-agent optimization

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