Distance LaplacianNormalized distance LaplacianDistance matrices of graphs were introduced by Graham and Pollack in 1971 to study a problem in communications. Since then, there has been extensive research on the distance matrices of graphs鈥攁 2014 survey by Aouchiche and Hansen on spectra of distance...
We propose two applications of the signed network embedding method; (1) a way to recover continuous node attributes based on their proximity in the embedding, and (2) using the node’s distance to the origin as a measure of extremism or conflictuality, evaluating the method on both synthetic...
It was located at the very edge of the small city of Soest: from the balcony of our second-floor home we looked out over cow-filled pastures with the seemingly endless forests of the Royal Domains in the distance, with dark night skies above them providing views of the stars (in later ...
The principles of FMCW radar have been explained in detail in multiple research5,6,7,11. The conventional use of the FMCW radar is to perform a range FFT on chirp sets that contain distance information and generate a range bin map. In the application of vital sign measurement, the amplitude...
secure and robust machine learning for healthcare: a survey [Paper] learning perturbation sets for robust machine learning [Paper] robust machine learning systems: challenges,current trends, perspectives, and the road ahead [Paper] secure byzantine-robust machine learning [Paper] adversarially ...
credibility of 1; if the observed value is less than MIN, then we define the pixel as a completely clear-sky pixel with a credibility of 0; if values are between MIN and MAX, then the credibility is between 0 and 1 and determined by the distance from the pixel value to the threshold...
SVM selects the hyperplane that maintains the maximum distance between the support vectors of different classes. These support vectors play a crucial role in defining the decision boundary and are instrumental in constructing the classification model [106]. Given a labeled dataset with samples from di...
A Survey on ensemble learning under the era of deep learning. Artif. Intell. Rev. 2023, 56, 5545–5589. [Google Scholar] [CrossRef] Zhang, Q.; Da, L.; Zhang, Y.; Hu, Y. Integrated neural networks based on feature fusion for underwater target recognition. Appl. Acoust. 2021, 182...
n/a Complete List of Authors: Deng, Li; Micorsoft , Research Publication Keywords: deep learning, algorithms, information processing Cambridge University Press Page 1 of 29 APSIPA Transactions on Signal and Information Processing A Tutorial Survey of Architectures, Algorithms, and Applications for Deep...
By leveraging open-source data, SpatialzOSM minimizes the risks of reidentification commonly associated with census and survey datasets, ensuring enhanced privacy protection. This package is valuable for researchers and modelers engaged in synthetic population generation for models requiring explicit ...