R1STM: One-class support tensor machine with randomised kernel

16th SIAM International Conference on Data Mining 2016, SDM 2016

Volumn , Issue , 2016, Pages 198-206

  Erfani, Sarah M ^a   Baktashmotlagh, Mahsa ^b   Rajasegarar, Sutharshan ^c   Nguyen, Vinh ^a   Leckie, Christopher ^a   Bailey, James ^a   Ramamohanarao, Kotagiri ^a  

^a UNIVERSITY OF MELBOURNE   (Australia)

^b QUEENSLAND UNIVERSITY OF TECHNOLOGY   (Australia)

^c DEAKIN UNIVERSITY   (Australia)

Author keywords

[No Author keywords available]

Indexed keywords

SIGNAL DETECTION; TENSORS; VECTOR SPACES;

ANOMALY DETECTION METHODS; CURSE OF DIMENSIONALITY; HIGH DIMENSIONAL SPACES; ONE-CLASS SUPPORT VECTOR MACHINE; STRUCTURAL INFORMATION; SUPPORT TENSOR MACHINES; TRAINING AND TESTING; UNSUPERVISED ANOMALY DETECTION;

DATA MINING;

EID: 84991671447     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

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