Stats Corner: Understanding Basketball Ranking Methods

Every year, the NCAA Selection Committee faces the monumental task of seeding the NCAA Tournament, a decision heavily ...
IEEE

RECLNet: Riemannian Manifold Enhanced Contrastive Learning Framework for PolSAR Image Few-Shot Classification

Abstract: In recent years, contrastive learning (CL) methods have achieved remarkable success in few-shot classification of polarimetric synthetic aperture radar (PolSAR) images. However, existing CL ...
INSPIRE

The study on the Einstein’s connection in 5-dimensional ES-manifold for the second class.

The manifold ∗g−ESXn is a generalized n-dimensional Riemannian manifold on which the differential geometric structure is imposed by the unified field tensor ∗gλν through the ES-connection which is ...
IEEE

Multilevel Spatial Feature-Based Manifold Metric Learning for Domain Adaptation in Remote Sensing Image Classification

Abstract: Domain adaptation purposes to transfer well-labeled domain knowledge to poor-labeled domain. However, many domain adaptation methods focus too much on spectral features and simple spatial ...
GitHub

perezjoan/Population-Potential-on-Catchment-Area---PPCA-Worldwide

This repository contains the implementation of the PPCA (Population Potential on Catchment Areas) protocol, a four-step procedure for acquiring, processing, and analyzing geospatial data from ...