169 citations · 818 across the 32 of their papers we have counts for
4 papers · 1 filter
Towards Flexible Sparsity-Aware Modeling: Automatic Tensor Rank Learning Using The Generalized Hyperbolic Prior
Lei Cheng, Zhongtao Chen, Qingjiang Shi +2
Tensor rank learning for canonical polyadic decomposition (CPD) has long been deemed as an essential yet challenging problem. In particular, since the tensor rank controls the comp…
Early soft and flexible fusion of EEG and fMRI via tensor decompositions
Christos Chatzichristos, Eleftherios Kofidis, Lieven De Lathauwer +2
Data fusion refers to the joint analysis of multiple datasets which provide complementary views of the same task. In this preprint, the problem of jointly analyzing electroencephal…
FedLoc: Federated Learning Framework for Data-Driven Cooperative Localization and Location Data Processing
Feng Yin, Zhidi Lin, Yue Xu +5
In this overview paper, data-driven learning model-based cooperative localization and location data processing are considered, in line with the emerging machine learning and big da…
Variational Conditional Dependence Hidden Markov Models for Skeleton-Based Action Recognition
Konstantinos P. Panousis, Sotirios Chatzis, Sergios Theodoridis
Hidden Markov Models (HMMs) comprise a powerful generative approach for modeling sequential data and time-series in general. However, the commonly employed assumption of the depend…