Cargando…

Multilinear subspace learning : dimensionality reduction of multidimensional data

Detalles Bibliográficos
Autores principales:	Lu, Haiping, Plataniotis, Konstantinos N, Venetsanopoulos, A N
Lenguaje:	eng
Publicado:	CRC Press 2014
Materias:	Computing and Computers
Acceso en línea:	http://cds.cern.ch/record/1988621

Ejemplares similares

Biometrics: Theory, Methods, and Applications
por: Boulgouris, N V, et al.
Publicado: (2009)

Geometric Structure of High-Dimensional Data and Dimensionality Reduction
por: Wang, Jianzhong
Publicado: (2011)

Techniques for visualizing multidimensional data
por: Hewitt, W T, et al.
Publicado: (1997)

A Multidimensional Approach to the Analysis of Grid Monitoring Data
por: Rubini, G, et al.
Publicado: (2005)

Multidimensional mining of massive text data
por: Zhang, Chao, et al.
Publicado: (2019)

Finite dimensional multilinear algebra
por: Marcus, Marvin
Publicado: (1973)

Finite dimensional multilinear algebra
por: Marcus, Marvin
Publicado: (1975)

Robust subspace methods for outlier detection in genomic data circumvents the curse of dimensionality
por: Shetta, Omar, et al.
Publicado: (2020)

Multidimensional particle swarm optimization for machine learning and pattern recognition
por: Kiranyaz, Serkan, et al.
Publicado: (2013)

Multilinear algebra
por: Greub, Werner H
Publicado: (1978)

Multilinear algebra
por: Greub, W H
Publicado: (1967)

Machine learning for model order reduction
por: Mohamed, Khaled Salah
Publicado: (2018)

Oracle Essbase & Oracle OLAP: the guide to Oracle's multidimensional solution
por: Schrader, Michael
Publicado: (2010)

Dimensionality Reduction and Subspace Clustering in Mixed Reality for Condition Monitoring of High-Dimensional Production Data †
por: Hoppenstedt, Burkhard, et al.
Publicado: (2019)

Expert cube development with SQL server analysis services 2012 multidimensional models
por: Ferrari, Alberto, et al.
Publicado: (2014)

A Multidimensional RSSI Based Framework for Autonomous Relay Robots in Harsh Environments
por: Di Castro, Mario, et al.
Publicado: (2019)

Data reduction and error analysis for the physical sciences
por: Bevington, Philip R, et al.
Publicado: (2003)

Data reduction and error analysis for the physical sciences
por: Bevington, Philip R, et al.
Publicado: (1992)

Conference on Automatic Acquisition and Reduction of Nuclear Data
por: Beckurts, K H, et al.
Publicado: (1964)

Data reduction and error analysis for the physical sciences
por: Bevington, Philip R
Publicado: (1969)

The data warehouse toolkit: the definitive guide to dimensional modeling
por: Kimball, Ralph
Publicado: (2013)

Multidimensional kernel estimation
por: Milosevic, Vukasin
Publicado: (2015)

Learning Tableau 2019: tools for business intelligence, data prep, and visual analytics
por: Milligan, Joshua N
Publicado: (2019)

Sharp maximal and weighted estimates for multilinear iterated commutators of multilinear integrals with generalized kernels
por: Lin, Yan, et al.
Publicado: (2017)

Classical and multilinear harmonic analysis
por: Muscalu, Camil, et al.
Publicado: (2013)

Classical and multilinear harmonic analysis
por: Muscalu, Camil, et al.
Publicado: (2013)

An introduction to elements of multilinear algebra
por: Amir-Moez, Ali R
Publicado: (1970)

Novel computer architectures: data flow, reduction, inference and logic machines
por: Halatsis, Constantin
Publicado: (1986)

Learning Python data visualization
por: Adams, Chad
Publicado: (2014)

Learning Tableau 10: learn how to create effective data visualizations with Tableau and unlock a smarter approach to business analytics : it might just transform your organization
por: Milligan, Joshua N
Publicado: (2016)

Ensemble Linear Subspace Analysis of High-Dimensional Data
por: Ahmed, S. Ejaz, et al.
Publicado: (2021)

The application of multi-dimensional analysis techniques to the processing of event data from large spectrometers
por: Hansroul, M, et al.
Publicado: (1973)

Learn data analysis with Python: lessons in coding
por: Henley, A J, et al.
Publicado: (2018)

Machine learning of material properties: Predictive and interpretable multilinear models
por: Allen, Alice E. A., et al.
Publicado: (2022)

Learning Tableau: leverage the power of Tableau 9.0 to design rich data visualizations and build fully interactive dashboards
por: Milligan, Joshua N
Publicado: (2015)

Learning core data for iOS
por: Roadley, Tim
Publicado: (2014)

Supervised and unsupervised learning for data science
por: Berry, Michael W, et al.
Publicado: (2020)

Learning functional data structures and algorithms
por: Khot, Atul S, et al.
Publicado: (2016)

Multiview machine learning for data analysis
por: Sun, Shiliang, et al.
Publicado: (2019)

Machine learning for big data analysis
por: Bhattacharyya, Siddhartha, et al.
Publicado: (2019)

Cannot write session to /tmp/vufind_sessions/sess_va1q48g8mkeu8kfd8ci3fa54eh