Multi-hop Federated Private Data Augmentation with Sample Compression
On-device machine learning (ML) has brought about the accessibility to a tremendous amount of data from the users while keeping their local […]
Layered Belief Propagation for Low-Complexity Large MIMO Detection Based on Statistical Beams
This paper proposes a novel layered belief propagation (BP) detector with a concatenated structure of two different BP layers for low-complexity large […]
Decentralized Deep Reinforcement Learning for Delay-Power Tradeoff in Vehicular Communications
This paper targets at the problem of radio resource management for expected long-term delay-power tradeoff in vehicular communications. At each decision epoch, […]
Statistical Analysis of Multiple Antenna Strategies for Wireless Energy Transfer
Wireless energy transfer (WET) is emerging as a potential solution for powering small energy-efficient devices. We propose strategies that use multiple antennas […]
Learning to detect genuine versus posed pain from facial expressions using residual generative adversarial networks
We present a novel approach based on Residual Generative Adversarial Network (R-GAN) to discriminate genuine pain expression from posed pain expression by […]
Rain induced co-channel interference at 60 GHz and 300 GHz frequencies
Results at mm wave frequencies have shown that it is important to evaluate co-channel interference between directional beams that cross each other. […]
Kinship verification based deep and tensor features through extreme learning machine
Checking the kinship of facial images is a difficult research topic in computer vision that has attracted attention in recent years. The […]
Time-series clustering with jointly learning deep representations, clusters and temporal boundaries
Clustering and segmentation of temporal data is an important task across several fields, with prominent applications in computer vision and machine learning […]
Combining global and local convolutional 3D networks for detecting depression from facial expressions
Deep learning architectures have been successfully applied in video-based health monitoring, to recognize distinctive variations in the facial appearance of subjects. To […]
Analyze spontaneous gestures for emotional stress state recognition
Emotions are central for human intelligence and should have a similar role in AI. When it comes to emotion recognition, however, analysis […]