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Correlation coefficients of hesitant fuzzy sets and their application based on fuzzy measures
F Meng, X Chen - Cognitive Computation, 2015 - Springer
In this paper, several new correlation coefficients of hesitant fuzzy sets are defined, not
taking into account the length of hesitant fuzzy elements and the arrangement of their …
taking into account the length of hesitant fuzzy elements and the arrangement of their …
On multiobjective knapsack problems with multiple decision makers
Many real-world optimization problems require optimizing multiple conflicting objectives
simultaneously, and such problems are called multiobjective optimization problems (MOPs) …
simultaneously, and such problems are called multiobjective optimization problems (MOPs) …
Correlation coefficients of hesitant multiplicative sets and their applications in decision making and clustering analysis
Hesitant multiplicative set (HMS) can reflect the preferences of decision makers objectively
for the reason that it uses the unsymmetrical scale to express the preferences about two …
for the reason that it uses the unsymmetrical scale to express the preferences about two …
Automated analysis for basketball free throw
Kinetic analysis of the sport player performance is a very important operation for players and
coaches, in order to fully understand player development and abilities. Commonly this …
coaches, in order to fully understand player development and abilities. Commonly this …
Optimization-based methodology for training set selection to synthesize composite correlation filters for face recognition
E Santiago-Ramirez, JA Gonzalez-Fraga… - Signal Processing …, 2016 - Elsevier
Face recognition has been addressed with pattern recognition techniques such as
composite correlation filters. These filters are synthesized from training sets which are …
composite correlation filters. These filters are synthesized from training sets which are …
A decision‐making methodology based on the weighted correlation coefficient in weighted extended hesitant fuzzy environments
Correlation is an important index in decision‐making. In weighted extended hesitant fuzzy
sets (WEHFSs) environment, researchers have only defined a class of correlation …
sets (WEHFSs) environment, researchers have only defined a class of correlation …
Pose estimation in noncontinuous video sequences using evolutionary correlation filtering
In this paper, we propose an evolutionary correlation filtering approach for solving pose
estimation in noncontinuous video sequences. The proposed algorithm computes the linear …
estimation in noncontinuous video sequences. The proposed algorithm computes the linear …
Evolutionary correlation filtering based on pseudo-bacterial genetic algorithm for pose estimation of highly occluded targets
An accurate method based on evolutionary correlation filtering to solve pose estimation of
highly occluded targets is presented. The proposed method performs multiple correlation …
highly occluded targets is presented. The proposed method performs multiple correlation …
Target field of view prediction using artificial pheromones for people reidentification
E Santiago-Ramirez, JA Gonzalez-Fraga… - IEEE …, 2019 - ieeexplore.ieee.org
People reidentification is a fundamental task in automated video surveillance based on
computer vision. Reidentification happens when a person seen in a field of view is the same …
computer vision. Reidentification happens when a person seen in a field of view is the same …
[PDF][PDF] Enhanced Image Object Recognition system using Correlation Filter based on Optimization
AK Dwivedi, B Sahu - 2017 - academia.edu
Object recognition refers to finding a given object in an image or video sequence based on
physical properties of the object. Object recognition has been a challenging computer vision …
physical properties of the object. Object recognition has been a challenging computer vision …