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5 papers
Coupled Support Tensor Machine Classification for Multimodal Neuroimaging Data
Li Peide, Seyyid Emre Sofuoglu, Tapabrata Maiti +1
Multimodal data arise in various applications where information about the same phenomenon is acquired from multiple sensors and across different imaging modalities. Learning from m…
Low-rank on Graphs plus Temporally Smooth Sparse Decomposition for Anomaly Detection in Spatiotemporal 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 mo…
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…
Graph Regularized Tensor Train Decomposition
Seyyid Emre Sofuoglu, Selin Aviyente
With the advances in data acquisition technology, tensor objects are collected in a variety of applications including multimedia, medical and hyperspectral imaging. As the dimensio…
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…