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Robust Normalized Softmax Loss for Deep Metric Learning-Based Characterization of Remote Sensing Images With Label Noise
(Institute of Electrical and Electronics EngineersIEEE, 2020-12-16)
Most deep metric learning-based image characterization methods exploit supervised information to model the semantic relations among the remote sensing (RS) scenes. Nonetheless, the unprecedented availability of large-scale ...
Study of Convolutional Neural Networks for Global Parametric Motion Estimation on Log-Polar Imagery
(Institute of Electrical and Electronics Engineers, 2020-08-12)
The problem of motion estimation from images has been widely studied in the past. Although
many mature solutions exist, there are still open issues and challenges to be addressed. For instance, in spite of
the well-known ...
TAG: A Tabletop Games Framework
(CEUR Workshop Proceedings, 2020-10-23)
Tabletop games come in a variety of forms, including board
games, card games, and dice games. In recent years, their
complexity has considerably increased, with many components, rules that change dynamically through the ...
PiCoCo: Pixelwise Contrast and Consistency Learning for Semisupervised Building Footprint Segmentation
(IEEE, 2021-10-11)
Building footprint segmentation from high-resolution
remote sensing (RS) images plays a vital role in urban planning, disaster response, and population density estimation. Convolutional
neural networks (CNNs) have been ...
Hypnos: a Hardware and Software Toolkit for Energy-Aware Sensing in Low-Cost IoT Nodes
(Institute of Electrical and Electronics EngineersIEEE, 2022)
Through the Internet of Things, autonomous sensing
devices can be deployed to regularly capture environmental and
other sensor measurements for a variety of usage scenarios.
However, for the market segment of stand-alone, ...
Implementation, efficacy and cost effectiveness of the unified protocol in a blended format for the transdiagnostic treatment of emotional disorders: a study protocol for a multicentre, randomised, superiority controlled trial in the Spanish National Health System
(BMJ Publishing Group, 2021-12-31)
INTRODUCTION Emotional disorders (EDs) have become the most prevalent psychological disorders in the general population, which has boosted the economic burden associated with their management. Approximately half of the ...
Classification of Events Using Local Pair Correlation Functions for Spatial Point Patterns
(American Statistical AssociationInternational Biometrics SocietySpringer Verlag, 2021-05-12)
Spatial point pattern analysis usually concerns identifying features in an observation window where there is also noise. This identification traditionally begins with studying the second-order properties of the point ...
A Bayesian Spatial Analysis of the Heterogeneity in Human Mobility Changes During the First Wave of the COVID-19 Epidemic in the United States
(American Statistician, 2021)
The spread of COVID-19 in the U.S. prompted nonpharmaceutical interventions which caused a reduction in mobility everywhere, although with large disparities between different counties. Using a Bayesian spatial modeling ...
Human gesture recognition under degraded environments using 3D-integral imaging and deep learning
(Optical Society of America, 2020)
In this paper, we propose a spatio-temporal human gesture recognition algorithm under degraded conditions using three-dimensional integral imaging and deep learning. The proposed algorithm leverages the advantages of ...
Multimedia augmented reality game for learning math
(Springer, 2022-05)
The traditional method for learning the multiplication tables is a repetitive and boring task. Teachers try to find new methods to motivate children in this tedious duty, and one of the lines to consider is to integrate ...