62 citations · 350 across the 33 of their papers we have counts for
5 papers · 1 filter
Multiview Deep Learning for Predicting Twitter Users' Location
Tien Huu Do, Duc Minh Nguyen, Evaggelia Tsiligianni +2
The problem of predicting the location of users on large social networks like Twitter has emerged from real-life applications such as social unrest detection and online marketing.…
Heterogeneous Networked Data Recovery from Compressive Measurements Using a Copula Prior
Nikos Deligiannis, João F. C. Mota, Evangelos Zimos +1
Large-scale data collection by means of wireless sensor network and internet-of-things technology poses various challenges in view of the limitations in transmission, computation,…
Multimodal Image Super-resolution via Joint Sparse Representations induced by Coupled Dictionaries
Pingfan Song, Xin Deng, João F. C. Mota +3
Real-world data processing problems often involve various image modalities associated with a certain scene, including RGB images, infrared images or multi-spectral images. The fact…
Deep Learning Sparse Ternary Projections for Compressed Sensing of Images
Duc Minh Nguyen, Evaggelia Tsiligianni, Nikos Deligiannis
Compressed sensing (CS) is a sampling theory that allows reconstruction of sparse (or compressible) signals from an incomplete number of measurements, using of a sensing mechanism…
Incorporating Prior Information in Compressive Online Robust Principal Component Analysis
Huynh Van Luong, Nikos Deligiannis, Jurgen Seiler +2
We consider an online version of the robust Principle Component Analysis (PCA), which arises naturally in time-varying source separations such as video foreground-background separa…