A project of the sub-pixel Least-Square Matching Refining Algorithm for Epipolar-Rectified Stereo Image Pairs in window-size areas. The classic algorithm is proposed by Ackermann in DIGITAL IMAGE ...
Understanding the mechanism of how neural networks learn features from data is a fundamental problem in machine learning. Our work explicitly connects the mechanism of neural feature learning to a ...
Introduction: Phasor measurement is crucial for the monitoring and management of power grids. Traditional hardware-based phasor measurement units (PMUs) are effective but often complex and expensive.
Georgia Tech's online master's in computer science has taken off like a rocket ship. It is the most successful degree program in the history of higher education and we should all take important ...
ABSTRACT: Pedestrian inertial positioning is an effective means when satellites fail. Heading accuracy determines the performance of pedestrian inertial positioning. To realize an accurate positioning ...
Training spiking recurrent neural networks on neuronal recordings or behavioral tasks has become a popular way to study computations performed by the nervous system. As the size and complexity of ...
In this paper we propose methods for estimating heterogeneity in causal effects in experimental and observational studies and for conducting hypothesis tests about the magnitude of differences in ...
† Department of Instrumentation and Automation Engineering, Petroleum University of Technology (PUT), Ahwaz, Iran ‡ Department of Petroleum Engineering, National Iranian South Oil Company, Ahwaz, Iran ...
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