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  • M. Alex O. Vasilescu - Causal Tensor Factor Analysis
    Multilinear algebra, the algebra of higher-order tensors, offers a potent mathematical foundation for analyzing the multifactor structure of image ensembles and for addressing the difficult problem of disentangling the constituent factors or modes
  • M. Alex O. Vasilescu - EverybodyWiki Bios Wiki
    M Alex O Vasilescu is a Romanian-American computer scientist, known for introducing a unified tensor factor analysis framework for causal inference with applications in computer vision, computer graphics, and machine learning
  • Leadership Team - Tensor Vision
    Dr M Alex O Vasilescu was educated at the Massachusetts Institute of Technology and the University of Toronto She is a pioneer in the development of tensor algebraic approaches for computer vision, graphics and machine learning
  • M. Alex O. Vasilescu
    In the early 2000s, Vasilescu pioneered the tensor algebraic framework for computer vision, computer graphics, and machine learning
  • M. Alex O. Vasilescu - Tensor Vision Technologies | LinkedIn
    View M Alex O Vasilescu’s profile on LinkedIn, a professional community of 1 billion members
  • M. A. O. Vasilescu | IEEE Xplore Author Details
    M Alex O Vasilescu (maov@media mit edu) is a research scientist at the MIT Media Lab, Massachusetts Institute of Technology, Cambridge, and an assistant professor of computer science, at the State University of New York, Stony Brook
  • M. Alex O. Vasilescu (0000-0001-6581-6930) - ORCID
    She was a research scientist at the MIT Media Lab from 2005–07 and at New York University’s Courant Institute of Mathematical Sciences from 2001–05 In 2021, she was a senior fellow at Institute of Pure and Applied Mathematics (IPAM) at University of California, Los Angeles (UCLA)
  • Alex Vasilescu - Innovators Under 35
    Using a specialized form of mathematics called tensor algebra, Alex Vasilescu- a research scientist at New York University and a computer science PhD candidate at the University of Toronto- has developed breakthrough recognition algorithms called TensorFaces
  • M. Alex O. Vasilescu - Home Page - UCLA CS
    M Alex O Vasilescu - Home Page - UCLA CS
  • 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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