Besides serving as prediction models, classification trees are useful for finding important
predictor variables and identifying interesting subgroups in the data. These functions can be …

Earth Observation (EO) data are used to map mostly affected urban areas after an
earthquake generally exploiting change detection techniques applied at pixel scale …

In this paper, we propose Adam-Hash: an adaptive and dynamic multi-resolution hashing
data-structure for fast pairwise summation estimation. Given a data-set X⊂ ℝ d, a binary …

Acoustic Emission (AE) is a suitable method to monitor the health of composite structures in
real-time. However, AE-based failure mode identification and classification are still complex …

Ribonucleic acid sequencing (RNA-Seq) measures the expression levels of several
transcripts simultaneously. The readings can be gene, exon, or other regions of interest …

Abstract The Legacy Survey of Space and Time (LSST) at the Vera C. Rubin Observatory
will discover tens of thousands of extragalactic transients each night. The high volume of …

This article presents some theoretical results on the maximum of several functions, and its
use to define the joint distance of k probability densities, which, in turn, serves to derive new …

The study of the spatial-temporal pattern and social performance of urban public services is
a basic task for achieving urban fairness and justice. Through spatial analysis and social …

In this article, we suggest a new algorithm to identify the prior probabilities for classification
problem by Bayesian method. The prior probabilities are determined by combining the …

Basing on L 1-distance and representing element of cluster, the article proposes new three
algorithms in Fuzzy Clustering of probability density Functions (FCF). They are hierarchical …