Data fusion in cyber-physical-social systems: State-of-the-art and perspectives
Abstract Cyber-Physical-Social systems (CPSSs) are the extension of Cyber-Physical
systems (CPS), which seamlessly integrate cyber space, physical space and social space …
systems (CPS), which seamlessly integrate cyber space, physical space and social space …
Differentially private data fusion and deep learning framework for cyber–physical–social systems: State-of-the-art and perspectives
The modern technological advancement influences the growth of the cyber–physical system
and cyber–social system to a more advanced computing system cyber–physical–social …
and cyber–social system to a more advanced computing system cyber–physical–social …
Fast curvelet transform through genetic algorithm for multimodal medical image fusion
Currently, medical imaging modalities produce different types of medical images to help
doctors to diagnose illnesses or injuries. Each modality of images has its specific intensity …
doctors to diagnose illnesses or injuries. Each modality of images has its specific intensity …
[PDF][PDF] Learning from scratch a confidence measure.
M Poggi, S Mattoccia - Bmvc, 2016 - researchgate.net
Stereo vision is a popular technique to infer depth from two or more images. In this field,
confidence measures, typically obtained from the analysis of the cost volume, aim at …
confidence measures, typically obtained from the analysis of the cost volume, aim at …
Leveraging stereo matching with learning-based confidence measures
We propose a new approach to associate supervised learning-based confidence prediction
with the stereo matching problem. First of all, we analyze the characteristics of various …
with the stereo matching problem. First of all, we analyze the characteristics of various …
Quantitative evaluation of confidence measures in a machine learning world
Confidence measures aim at detecting unreliable depth measurements and play an
important role for many purposes and in particular, as recently shown, to improve stereo …
important role for many purposes and in particular, as recently shown, to improve stereo …
Cooperative mining in blockchain networks with zero-determinant strategies
In proof-of-work (PoW)-based blockchain networks, the miners contribute their distributed
computation in solving a crypto-puzzle competition to win the reward. To secure stable …
computation in solving a crypto-puzzle competition to win the reward. To secure stable …
A new view of multisensor data fusion: research on generalized fusion
G Chen, Z Liu, G Yu, J Liang - Mathematical Problems in …, 2021 - Wiley Online Library
Multisensor data generalized fusion algorithm is a kind of symbolic computing model with
multiple application objects based on sensor generalized integration. It is the theoretical …
multiple application objects based on sensor generalized integration. It is the theoretical …
Enhancement of image and depth map using adaptive joint trilateral filter
SW Jung - IEEE transactions on circuits and systems for video …, 2012 - ieeexplore.ieee.org
In this paper, we present an adaptive joint trilateral filter (AJTF), which consists of domain,
range, and depth filters. The AJTF is used for the joint enhancement of images and depth …
range, and depth filters. The AJTF is used for the joint enhancement of images and depth …
Learning to predict stereo reliability enforcing local consistency of confidence maps
M Poggi, S Mattoccia - Proceedings of the IEEE Conference …, 2017 - openaccess.thecvf.com
Confidence measures estimate unreliable disparity assignments performed by a stereo
matching algorithm and, as recently proved, can be used for several purposes. This paper …
matching algorithm and, as recently proved, can be used for several purposes. This paper …