The influence of learning methods on collaboration: Prior repeated retrieval enhances retrieval organization, abolishes collaborative inhibition, and promotes post-collaborative memory.

2011 ◽  
Vol 140 (4) ◽  
pp. 535-551 ◽  
Author(s):  
Adam R. Congleton ◽  
Suparna Rajaram
Keyword(s):  
Learning Methods ◽  
Collaborative Memory ◽  
Collaborative Inhibition ◽  
Retrieval Organization ◽  
Repeated Retrieval

Can Processing Social Information Reduce or Eliminate Collaborative Inhibition?

2011 ◽  
Author(s):  
Matthew R. Kelley ◽  
Matthew B. Reysen ◽  
Kayla Ahlstrand ◽  
Carli Pentz
Keyword(s):  
Social Information ◽  
Collaborative Inhibition

The role of expertise in collaborative memory

2006 ◽  
Author(s):  
Michelle L. Meade ◽  
Timothy J. Nokes ◽  
Daniel G. Morrow
Keyword(s):  
Collaborative Memory

Does Repeated Retrieval Plus Restudy Improve Memory for Key Ideas in Text?

2007 ◽  
Author(s):  
Tina M. Burke ◽  
Mary A. Pyc ◽  
Katherine A. Rawson
Keyword(s):  
Repeated Retrieval

Collaborative inhibition in same-age and mixed-age dyads.

2020 ◽  
Vol 35 (7) ◽  
pp. 963-973
Author(s):  
Summer R. Whillock ◽  
Michelle L. Meade ◽  
Keith A. Hutchison ◽  
Megan D. Tsosie
Keyword(s):  
Collaborative Inhibition ◽  
Mixed Age

Research on behavior recognition based on feature fusion of automatic coder and recurrent neural network

2020 ◽  
Vol 39 (6) ◽  
pp. 8927-8935
Author(s):  
Bing Zheng ◽  
Dawei Yun ◽  
Yan Liang
Keyword(s):  
Neural Network ◽  
Recurrent Neural Network ◽  
Behavior Pattern ◽  
Rapid Development ◽  
Video Data ◽  
Support Vector ◽  
Behavior Recognition ◽  
Learning Methods ◽  
The Impact ◽  
Internet Of Things Technology

Under the impact of COVID-19, research on behavior recognition are highly needed. In this paper, we combine the algorithm of self-adaptive coder and recurrent neural network to realize the research of behavior pattern recognition. At present, most of the research of human behavior recognition is focused on the video data, which is based on the video number. At the same time, due to the complexity of video image data, it is easy to violate personal privacy. With the rapid development of Internet of things technology, it has attracted the attention of a large number of experts and scholars. Researchers have tried to use many machine learning methods, such as random forest, support vector machine and other shallow learning methods, which perform well in the laboratory environment, but there is still a long way to go from practical application. In this paper, a recursive neural network algorithm based on long and short term memory (LSTM) is proposed to realize the recognition of behavior patterns, so as to improve the accuracy of human activity behavior recognition.

Sign in / Sign up

Export Citation Format

Share Document