BlindNet: An untrained learning approach toward computational imaging with model uncertainty

2021 ◽  
Author(s):  
Xiangyu Zhang ◽  
Fei Wang ◽  
Guohai Situ
Keyword(s):  
Model Uncertainty ◽  
Computational Imaging ◽  
Learning Approach

scholarly journals Deep neural networks for computational optical form measurements

2020 ◽  
Vol 9 (2) ◽  
pp. 301-307
Author(s):  
Lara Hoffmann ◽  
Clemens Elster
Keyword(s):  
Neural Networks ◽  
Deep Neural Networks ◽  
Ground Truth ◽  
Autonomous Driving ◽  
Computational Imaging ◽  
Data Driven ◽  
Learning Approach ◽  
Optical Surfaces ◽  
Machine Learning Approach ◽  
Proof Of Principle

Abstract. Deep neural networks have been successfully applied in many different fields like computational imaging, healthcare, signal processing, or autonomous driving. In a proof-of-principle study, we demonstrate that computational optical form measurement can also benefit from deep learning. A data-driven machine-learning approach is explored to solve an inverse problem in the accurate measurement of optical surfaces. The approach is developed and tested using virtual measurements with a known ground truth.

A Meta-Learning approach to Model Uncertainty in Financial Time Series

2021 ◽  
Author(s):  
Miquel Noguer i Alonso ◽  
Gilberto Batres-Estrada ◽  
Ghozlane Yahiaoui
Keyword(s):  
Time Series ◽  
Model Uncertainty ◽  
Financial Time Series ◽  
Learning Approach ◽  
Financial Time ◽  
Meta Learning

Active e-Learning Approach for e-Business

2011 ◽  
Vol 5 (1) ◽  
pp. 48-60 ◽  
Author(s):  
VaheMhiri, Nerguizian
Keyword(s):  
Learning Approach ◽  
E Learning

THE EFFECTIVENESS OF PROBLEM-BASED LEARNING APPROACH IN THE TEACHING OF HANG STYLE LONG JUMP

2020 ◽  
Vol 13 (2) ◽  
pp. 24-30
Author(s):  
Octavianus Cahyanto Adhie
Keyword(s):  
Physical Education ◽  
Learning Outcomes ◽  
Quantitative Research ◽  
School Context ◽  
Problem Based Learning ◽  
Learning Approach ◽  
Learning Improvement ◽  
Learning Attitudes ◽  
Long Jump ◽  
Students Attitudes

The learning improvement of physical education can be done through implementing learning approach which is suitable for 21st Century era. This research is a descriptive quantitative research which aims to describe the effectiveness of the hang style long jump learning using problem-based learning approach based on students’ learning outcomes and attitude in vocational high school context. The subject of the research were students of  X ATR 1 and X TKRO 1 students of SMKN 1 Cangkringan. The data were obtained from the result of observation sheets, learning outcome tests, and questionnaire of students’ attitudes towards learning. The result showed that hang style long jump learning using problem-based learning approach was effective based on students’ learning outcomes and learning attitudes. The passing students reached 100% for X ATR 1 students and 80,65% for X TKRO 1 students.  The students’ learning attitudes towards physical education subject in the category of minimum more than 80% high were 100% for X ATR 1 students and 90.32% for X TKRO 1 students.

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