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eess.SP2020
GLOSS: Tensor-Based Anomaly Detection in Spatiotemporal Urban Traffic Data
Seyyid Emre Sofuoglu, Selin Aviyente
Anomaly detection in spatiotemporal data is a challenging problem encountered in a variety of applications including hyperspectral imaging, video surveillance and urban traffic mon…
eess.SP2019
Multi-Branch Tensor Network Structure for Tensor-Train Discriminant Analysis
Seyyid Emre Sofuoglu, Selin Aviyente
Higher-order data with high dimensionality arise in a diverse set of application areas such as computer vision, video analytics and medical imaging. Tensors provide a natural tool…