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Multilinear Subspace Learning

efficient dimensionality reduction schemes than the traditional techniques. Addressing this need, multilinear subspace learning (MSL) reduces the;

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Krylov Subspace Methods

The mathematical theory of Krylov subspace methods with a focus on solving systems of linear algebra;...

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ModelBased Processing

A bridge between the application of subspace-based methods for parameter estimation in signal proces;...

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Subspace Methods for System Identification

An in-depth introduction to subspace methods for system identification in discrete-time linear syste;...

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Krylov Subspace Methods with Application in Incompressible Fluid Flow Solvers

A succinct and complete explanation of Krylov subspace methods for solving systems of equations ;...

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Modern Machine Learning Techniques and Their Applications in Cartoon Animation Research

The integration of machine learning techniques and cartoon animation research is fast becoming a hot topic. This book helps readers learn;

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Multilinear Algebra

The prototypical multilinear operation is multiplication. Indeed, every multilinear mapping can be factored through a tensor product. Apart;

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Narrowband Direction of Arrival Estimation for Antenna Arrays

This book provides an introduction to narrowband array signal processing, classical and subspace-bas;...

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Multilinear Singular Integral Forms of Christ-Journe Type

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Subspace . FUNKER VOGT, CD

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Aika . Subspace Radio, CD

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Different Subspace Classification

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Speech Enhancement

Speech enhancement is a classical problem in signal processing, yet still largely unsolved. Two ;...

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Narrowband Direction of Arrival Estimation for Antenna Arrays

This book provides an introduction to narrowband array signal processing, classical and subspace-bas;...

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Network Coding and Subspace Designs

This book, written by experts from universities and major research laboratories, addresses the hot t;...

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Tensor Computation for Data Analysis

, multilinear discriminate analysis, tensor subspace clustering, tensor-based deep learning, tensor graphical model and tensor sketch. The discussion;

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Robust Representation for Data Analytics

This book introduces the concepts and models of robust representation learning, and provides a set of solutions to deal with real-world;

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Multilinear Algebra

Multilinear algebra has important applications in many different areas of mathematics but is usually learned in a rather haphazard fashion;

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Multilinear Algebra

Multilinear algebra has important applications in many different areas of mathematics but is usually learned in a rather haphazard fashion;

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Condition Monitoring with Vibration Signals

presents new methods including machine learning and compressive sampling, which help to improve safety, reliability, and performance.A;

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Handbook of Robust Low-Rank and Sparse Matrix Decomposition

learning and tracking by decomposition into low-rank and sparse matrices provide a suitable framework for computer vision applications;

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Modern Approaches to the Invariant-Subspace Problem

One of the major unsolved problems in operator theory is the fifty-year-old invariant subspace probl;...

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Matrix Calculus, Kronecker Product and Tensor Product - A Practical Approach to Linear Algebra, Multilinear Algebra and Tensor Calculus with Software Implementations (3rd Edition)

Our self-contained volume provides an accessible introduction to linear and multilinear algebra as well as tensor calculus. Besides the;

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Dynamic Fuzzy Machine Learning

Machine learning is widely used for data analysis. Dynamic fuzzy data are one of the most difficult types of data to analyse in the field;

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Outlier Analysis

from data mining, machine learning, and statistics within the computational framework and therefore appeals to multiple communities. The;

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Outlier Analysis

from data mining, machine learning, and statistics within the computational framework and therefore appeals to multiple communities. The;

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Handbook of Mixture Analysis

on mixture models and their applications in scientific domains such as data mining, machine learning, physics, mechanical engineering, signal;

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