Graph Topology Inference Based on Sparsifying Transform Learning
نویسندگان
چکیده
منابع مشابه
Learning non-structured, overcomplete and sparsifying transform
Transform learning has been introduced and studied in [1],[2], [3] and [4]. An optimal transform learning for structured and overcomplete matrix was proposed in [5]. However, several issues (optimality, convergence and computational complexity) related to learning an incoherent, well-conditioned, non-structured and overcomplete sparsifing transform still remain open. Let X ∈ <N×L be a data matr...
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Gonzalo Mateos,a,∗, Santiago Segarra∗∗ and Antonio G. Marques† ∗University of Rochester, Dept. of Electrical and Computer Engineering, Rochester, NY, United States. ∗∗Massachusetts Institute of Technology, Institute for Data, Systems, and Society, Cambridge, MA, United States. †King Juan Carlos University, Dept. of Signal Theory and Communications, Madrid, Spain aCorresponding: [email protected]...
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ژورنال
عنوان ژورنال: IEEE Transactions on Signal Processing
سال: 2019
ISSN: 1053-587X,1941-0476
DOI: 10.1109/tsp.2019.2896229