A Novel Tracking Method Based on Ensemble Metric Learning

2014 ◽  
Author(s):  
Qirun Huo ◽  
Yao Lu
Keyword(s):  
Metric Learning ◽  
Tracking Method

scholarly journals Integrated Metric Learning Based Multiple Object Tracking Method under Occlusion in Substations

2020 ◽  
Vol 558 ◽  
pp. 052067
Author(s):  
Pengfei Zhang ◽  
Zhongyang Chen ◽  
Xinyue Zhang ◽  
Zhongguang Yang ◽  
Wenbin Shi
Keyword(s):  
Object Tracking ◽  
Metric Learning ◽  
Multiple Object Tracking ◽  
Tracking Method ◽  
Multiple Object

Can Mouse-tracking Reveal Attribute Processing Speeds in Dietary Self-control? Commentary on Sullivan et al. (2015) and Lim et al. (2018) with A Simulation Study

2018 ◽  
Author(s):  
Chao Zhang ◽  
Martijn Willemsen ◽  
Daniel Lakens
Keyword(s):  
Simulation Study ◽  
Processing Speed ◽  
Empirical Data ◽  
Self Control ◽  
Alternative Mechanism ◽  
Mouse Tracking ◽  
Tracking Method ◽  
Cognitive Mechanism ◽  
Speed Difference ◽  
Original Hypothesis

In this commentary, we re-examine the use of a mouse-tracking method for revealing attribute processing speed difference in dietary self-control (Sullivan et al. 2015; Lim et al., 2018). Through re-analyses of Sullivan et al. (2015)’s data and a simulation study, it can be shown that the attribute-angle correlations in the empirical data, which were used to estimate processing speeds, are attributed primarily to their common correlations with choice. The simulation study further suggests that when we account for the choice-mediated attribute-angle correlations, the data patterns used for supporting the original hypothesis can be produced by implementing a plausible alternative mechanism unrelated to processing speeds. The mouse-tracking method therefore fails to provide clear evidence for processing speed difference as a cognitive mechanism of self-control. Researchers should be cautious when using the mouse-tracking method to estimate attribute processing speeds.

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