Results 31 to 40 of about 25,372 (226)
Keypoint descriptor fusion with Dempster–Shafer theory
Keypoint matching is the task of accurately nding the location of a scene point in two images. Many keypoint descriptors have been proposed in the literature aiming at providing robustness against scale, translation and rotation transformations, each having advantages and disadvantages.
V.M. Mondéjar-Guerra +4 more
openaire +4 more sources
Uncertainty in data fusion applications has received great attention. Due to the effectiveness and flexibility in handling uncertainty, Dempster–Shafer evidence theory is widely used in numerous fields of data fusion.
Yong Chen, Yongchuan Tang, Yan Lei
doaj +1 more source
COMBINATION OF GENETIC ALGORITHM AND DEMPSTER-SHAFER THEORY OF EVIDENCE FOR LAND COVER CLASSIFICATION USING INTEGRATION OF SAR AND OPTICAL SATELLITE IMAGERY [PDF]
The integration of different kinds of remotely sensed data, in particular Synthetic Aperture Radar (SAR) and optical satellite imagery, is considered a promising approach for land cover classification because of the complimentary properties of each data ...
H. T. Chu, L. Ge
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Modeling Partially Reliable Information Sources: A General Approach Based on Dempster-Shafer Theory [PDF]
Combining testimonial reports from independent and partially reliable information sources is an important problem of uncertain reasoning. Within the framework of Dempster-Shafer theory, we propose a general model of partially reliable sources which ...
Haenni, R, Hartmann, Stephan
core +2 more sources
Video Event Recognition by Dempster-Shafer Theory [PDF]
. This paper presents an event recognition framework, based on Dempster-Shafer theory, that combines evidence of events from low-level computer vision analytics.
Hong, Xin +5 more
core +3 more sources
Dempster–Shafer theory framed in modal logic
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Tsiporkova, Elena +2 more
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Logistic Regression, Neural Networks and Dempster-Shafer Theory: a New Perspective [PDF]
We revisit logistic regression and its nonlinear extensions, including multilayer feedforward neural networks, by showing that these classifiers can be viewed as converting input or higher-level features into Dempster–Shafer mass functions and ...
T. Denoeux
semanticscholar +1 more source
The paper proposes a method for circuit breaker state judgment based on ant colony algorithm-optimized Dempster-Shafer evidence theory.It can improve the accuracy and robustness of state judgment.
Qian Zhang +6 more
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Locating Facilities in Uncertainty Conditions based on D Number Theory [PDF]
Organizational senior managers decide about Facility location under uncertainty and lack of enough Information, while the decision is time consuming, scientific and strategic. To select the optimal facility location, scholars have proposed a variety of
Reza Shaikh, Hanieh Shambaiati
doaj
Stock portfolio selection using Dempster–Shafer evidence theory
Markowitz’s return–risk model for stock portfolio selection is based on the historical return data of assets. In addition to the effect of historical return, there are many other critical factors which directly or indirectly influence the stock market ...
Gour Sundar Mitra Thakur +2 more
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