The octahedron is badly approximated by random subspaces

E. D. Gluskin

doi:10.1007/bf01077309

The octahedron is badly approximated by random subspaces

Functional Analysis and Its Applications ◽

10.1007/bf01077309 ◽

1986 ◽

Vol 20 (1) ◽

pp. 11-16 ◽

Cited By ~ 3

Author(s):

E. D. Gluskin

Keyword(s):

Random Subspaces

Download Full-text

Random subspaces for encryption based on a private shared Cartesian frame

Physical Review A ◽

10.1103/physreva.72.052329 ◽

2005 ◽

Vol 72 (5) ◽

Cited By ~ 12

Author(s):

Stephen D. Bartlett ◽

Patrick Hayden ◽

Robert W. Spekkens

Keyword(s):

Random Subspaces

Download Full-text

Random subspaces of proportional dimension of finite dimensional normed spaces: Approach through the isoperimetric inequality

Banach Spaces - Lecture Notes in Mathematics ◽

10.1007/bfb0074700 ◽

1985 ◽

pp. 106-115 ◽

Cited By ~ 18

Author(s):

V. D. Milman

Keyword(s):

Isoperimetric Inequality ◽

Normed Spaces ◽

Finite Dimensional ◽

Random Subspaces

Download Full-text

Mining Outliers with Ensemble of Heterogeneous Detectors on Random Subspaces

Database Systems for Advanced Applications - Lecture Notes in Computer Science ◽

10.1007/978-3-642-12026-8_29 ◽

2010 ◽

pp. 368-383 ◽

Cited By ~ 41

Author(s):

Hoang Vu Nguyen ◽

Hock Hee Ang ◽

Vivekanand Gopalkrishnan

Keyword(s):

Random Subspaces

Download Full-text

Comparing classifiers that exploit random subspaces

Automatic Target Recognition XXIX ◽

10.1117/12.2520184 ◽

2019 ◽

Author(s):

Jamie Gantert ◽

David Gray ◽

Donald Hulsey ◽

Donald Waagen

Keyword(s):

Random Subspaces

Download Full-text

Research and development project risk assessment using a belief rule-based system with random subspaces

Knowledge-Based Systems ◽

10.1016/j.knosys.2019.04.017 ◽

2019 ◽

Vol 178 ◽

pp. 51-60 ◽

Cited By ~ 2

Author(s):

Ying Yang ◽

Jun Wang ◽

Gang Wang ◽

Yu-Wang Chen

Keyword(s):

Risk Assessment ◽

Research And Development ◽

Development Project ◽

Project Risk ◽

Rule Based ◽

Rule Based System ◽

Random Subspaces ◽

Project Risk Assessment

Download Full-text

Entanglement in Random Subspaces

10.1063/1.1834421 ◽

2004 ◽

Cited By ~ 1

Author(s):

Patrick Hayden

Keyword(s):

Random Subspaces

Download Full-text

Witness identification in multiple instance learning using random subspaces

2016 23rd International Conference on Pattern Recognition (ICPR) ◽

10.1109/icpr.2016.7900199 ◽

2016 ◽

Cited By ~ 1

Author(s):

Marc-Andre Carbonneau ◽

Eric Granger ◽

Ghyslain Gagnon

Keyword(s):

Multiple Instance Learning ◽

Random Subspaces

Download Full-text

Random subspaces NMF for unsupervised transfer learning

2014 International Joint Conference on Neural Networks (IJCNN) ◽

10.1109/ijcnn.2014.6889379 ◽

2014 ◽

Author(s):

Redko Ievgen ◽

Bennani Younes

Keyword(s):

Transfer Learning ◽

Random Subspaces

Download Full-text

A high-dimensional two-sample test for the mean using random subspaces

Computational Statistics & Data Analysis ◽

10.1016/j.csda.2013.12.003 ◽

2014 ◽

Vol 74 ◽

pp. 26-38 ◽

Cited By ~ 23

Author(s):

Måns Thulin

Keyword(s):

High Dimensional ◽

Sample Test ◽

The Mean ◽

Random Subspaces

Download Full-text

Steganalysis in high dimensions: fusing classifiers built on random subspaces

10.1117/12.872279 ◽

2011 ◽

Cited By ~ 26

Author(s):

Jan Kodovský ◽

Jessica Fridrich

Keyword(s):

High Dimensions ◽

Random Subspaces

Download Full-text