Projects funded by the NCN
Extraction of low-dimensional latent factors from nonnegatively constrained big data
2015/17/B/ST6/01865
Keywords:
dimensionality reduction feature extraction big data statistical classification nonnegative matrix factorization tensor decompositions
Descriptors:
- ST6_11: Machine learning, statistical data processing and applications using signal processing (e.g. speech, image, video)
- ST6_7: Artificial intelligence, intelligent systems, multi-agent systems
- ST6_12: Scientific computing, simulation and modelling tools
Panel:
ST6 - Computer science and informatics: informatics and information systems, computer science, scientific computing, intelligent systems
Host institution :
Politechnika Wrocławska
woj. dolnośląskie
Principal investigator (from the host institution):
Number of co-investigators in the project: 4
Call: OPUS 9 - announced on 2015-03-16
Amount awarded: 396 000 PLN
Project start date (Y-m-d): 2016-03-01
Project end date (Y-m-d): 2020-02-29
Project duration:: 48 months (the same as in the proposal)
Project status: Project settled
Project description
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