Pattern recognition framework based on the best rank-(R1, R2, …, RK) tensor approximation

Computational Vision and Medical Image Processing IV - Proceedings of Eccomas Thematic Conference on Computational Vision and Medical Image Processing, VIPIMAGE 2013

Volumn , Issue , 2014, Pages 301-306

  Cyganek, B ^a  

^a AGH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Poland)

Author keywords

[No Author keywords available]

Indexed keywords

MEDICAL COMPUTING; MEDICAL IMAGE PROCESSING; TENSORS;

DIGITAL IMAGE; FAST RESPONSE TIME; HIGH-ACCURACY; PROTOTYPE PATTERNS; SOFTWARE IMPLEMENTATION; TENSOR APPROXIMATION; TENSOR SUBSPACES; TEST PATTERN;

PATTERN RECOGNITION;

EID: 84973125732     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1201/b15810-53     Document Type: Conference Paper

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