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Probabilistic CPD with Orthogonal Factors by Anonymous 1aqlkZ is a document available to read on EtoBox.
1. A novel probabilistic tensor CPD algorithm is proposed to overcome disadvantages of existing methods such as requiring knowledge of tensor rank and inability to handle outliers. 2. The algorithm alternately estimates factor matrices, recovers tensor rank, and mitigates outliers, without requiring knowledge of noise power or outlier statistics. 3. Simulation results on synthetic and real data demonstrate the algorithm
- Author
- Anonymous 1aqlkZ
- Language
- EN