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- M. Alex O. Vasilescu - Google Scholar
Alex O Vasilescu - Google Scholar Computer Vision—ECCV 2002: 7th European Conference on Computer Vision … 2003 IEEE Computer Society Conference on Computer Vision and Pattern …
- Alex Vasilescu - Wikipedia
M Alex O Vasilescu s-a născut în București, România într-o familie de ingineri A copilărit în România comunistă (București și Caransebeș) și a locuit în Libia lui Gaddafi (Misurata), înainte ca ea și familia sa să obțină azil politic în Statele Unite Jurnalista și scriitoarea Silvia Cinca, fost corespondentă al postului Radio Europa Liberă la Washington, D C este
- Manuela (Alex) O. Vasilescu PhD. - Research Scientist - LinkedIn
Innovation, Technology AI Research Leader | Artificial Intelligence | Trustworthy AI | Causality | Tensor Factor Analysis | Computer Vision | Computer Graphics | Machine Learning · M Alex O
- MANUELA (ALEX) O. VASILESCU
Vasilescu has been spearheading the development of the tensor framework for computer vision, computer graphics, and machine learning She has been addressing causal inference questions by framing computer graphics and computer vision problems as multilinear tensor problems
- M. Alex O. Vasilescu - Causal Tensor Factor Analysis
M Alex O Vasilescu - Causal Tensor Factor Analysis
- M. Alex O. Vasilescu - MIT Media Lab
Human Motion Signatures is a quantitative model of human motion that can be used to identify an individual or characterize the gait as normal versus pathological Multilinear algebra is applied to the nonlinear representation, analysis, synthesis, and recognition of human movement from perceptual data
- M. Alex O. Vasilescu - Simons Institute for the Theory of Computing
In the early 2000s, Vasilescu pioneered the tensor algebraic framework for computer vision, computer graphics, and machine learning She addressed causal inference questions by framing computer graphics and computer vision problems as multilinear tensor problems, and demonstrated how the causal factors of data formation could be algorithmically
- Research - M. Alex O. Vasilescu - MIT Media Lab
We introduce a nonlinear, multifactor model that generalizes ICA A Multilinear ICA (MICA) model of image ensembles learns the statistically independent components of multiple factors Whereas ICA employs linear (matrix) algebra, MICA exploits multilinear (tensor) algebra
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