Investigation of frame-to-frame back projection and feature selection algorithms for non-line-of-sight laser gated viewing

2014 ◽  
Author(s):  
Martin Laurenzis ◽  
Andreas Velten
Keyword(s):  
Feature Selection ◽  
Line Of Sight ◽  
Back Projection ◽  
Selection Algorithms ◽  
Non Line Of Sight

Itertative back-projection techniques for non-line-of-sight imaging (Conference Presentation)

2017 ◽  
Author(s):  
Marco La Manna ◽  
Eric C. Breitbach ◽  
Jonathan Jackson ◽  
Fiona Kine ◽  
Andreas Velten
Keyword(s):  
Line Of Sight ◽  
Back Projection ◽  
Projection Techniques ◽  
Non Line Of Sight

Richardson–Lucy deconvolution of time histograms for high-resolution non-line-of-sight imaging based on a back-projection method

2018 ◽  
Vol 43 (23) ◽  
pp. 5885
Author(s):  
Chenfei Jin ◽  
Jiaheng Xie ◽  
Siqi Zhang ◽  
ZiJing Zhang ◽  
Yuan Zhao
Keyword(s):  
High Resolution ◽  
Projection Method ◽  
Line Of Sight ◽  
Back Projection ◽  
Non Line Of Sight

scholarly journals Reconstruction of multiple non-line-of-sight objects using back projection based on ellipsoid mode decomposition

2018 ◽  
Vol 26 (16) ◽  
pp. 20089 ◽  
Author(s):  
Chenfei Jin ◽  
Jiaheng Xie ◽  
Siqi Zhang ◽  
ZiJing Zhang ◽  
Yuan Zhao
Keyword(s):  
Line Of Sight ◽  
Back Projection ◽  
Mode Decomposition ◽  
Non Line Of Sight

scholarly journals Fast back-projection for non-line of sight reconstruction

2017 ◽  
Vol 25 (10) ◽  
pp. 11574 ◽  
Author(s):  
Victor Arellano ◽  
Diego Gutierrez ◽  
Adrian Jarabo
Keyword(s):  
Line Of Sight ◽  
Back Projection ◽  
Non Line Of Sight

An Enhancement of Feature Selection Algorithm for EDM: A Review

2018 ◽  
Vol 8 (5) ◽  
pp. 29
Author(s):  
Manpreet Kaur ◽  
Chamkaur Singh
Keyword(s):  
Feature Selection ◽  
Educational Data Mining ◽  
Problem Formulation ◽  
Research Area ◽  
Education Quality ◽  
Educational Institutions ◽  
Selection Algorithm ◽  
Positive Role ◽  
Data Set ◽  
Selection Algorithms

Educational Data Mining (EDM) is an emerging research area help the educational institutions to improve the performance of their students. Feature Selection (FS) algorithms remove irrelevant data from the educational dataset and hence increases the performance of classifiers used in EDM techniques. This paper present an analysis of the performance of feature selection algorithms on student data set. .In this papers the different problems that are defined in problem formulation. All these problems are resolved in future. Furthermore the paper is an attempt of playing a positive role in the improvement of education quality, as well as guides new researchers in making academic intervention.

Integrating the Non-Line of Sight Launching System (NLOS-LS) in the United States Navy

2007 ◽  
Author(s):  
Jonathon Emis ◽  
Bryan Huang ◽  
Timothy Jones ◽  
Mei Li ◽  
Don Tumbocon
Keyword(s):  
United States ◽  
United States Navy ◽  
The United States ◽  
Line Of Sight ◽  
Non Line Of Sight
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