scholarly journals Swallowing Pattern Classification Method Using Multichannel Surface EMG Signals of Suprahyoid and Infrahyoid Muscles

2020 ◽  
Vol 9 (0) ◽  
pp. 10-20
Author(s):  
Masahiro Suzuki ◽  
Makoto Sasaki ◽  
Katsuhiro Kamata ◽  
Atsushi Nakayama ◽  
Isamu Shibamoto ◽  
...  
Keyword(s):  
Pattern Classification ◽  
Surface Emg ◽  
Classification Method

Research on Filtration System of Network Negative Information on the Basis of Naive Bayes

2011 ◽  
Vol 271-273 ◽  
pp. 911-916
Author(s):  
Xi Ai Yan ◽  
Jin Min Yang
Keyword(s):  
Pattern Classification ◽  
Naive Bayes ◽  
Threshold Value ◽  
Negative Information ◽  
Naïve Bayes ◽  
Classification Method ◽  
Filtration System ◽  
Strong Robustness

The difficulty of filtrating network negative information lies in how to classify information correctly. As one of the classification method with the advantage of strong robustness and good understandability in the field of pattern classification, Naïve Bayes has been used widely. A method for filtrating network negative information on the basis of Naïve Bayes, improvement proposals aiming at the disadvantages of Naïve Bayes and amelioration of erroneous judgment of negative information by setting threshold value k have been put forward in this article. The experiment shows that by adjusting threshold value k can the integrity of the system can be optimum and can favorable application effects be achieved.

Multi-Label Classification Method for Multimedia Tagging

2010 ◽  
Vol 1 (3) ◽  
pp. 57-75
Author(s):  
Aiyesha Ma ◽  
Ishwar Sethi ◽  
Nilesh Patel
Keyword(s):  
New Media ◽  
Decision Tree ◽  
Pattern Classification ◽  
Classification Method ◽  
Tag Clouds ◽  
Search Results ◽  
Tree Pattern ◽  
Media Types ◽  
Media Data ◽  
Search And Retrieval

Community tagging offers valuable information for media search and retrieval, but new media items are at a disadvantage. Automated tagging may populate media items with few tags, thus enabling their inclusion into search results. In this paper, a multi-label decision tree is proposed and applied to the problem of automated tagging of media data. In addition to binary labels, the proposed Iterative Split Multi-label Decision Tree (IS-MLT) is easily extended to the problem of weighted labels (such as those depicted by tag clouds). Several datasets of differing media types show the effectiveness of the proposed method relative to other multi-label and single label classifier methods and demonstrate its scalability relative to single label approaches.Keywords: Automated Multimedia Tagging; Community Tagging; Multi-label Classification; Multi-label Decision Tree; Pattern Classification

Pattern Classification Method of Electrical Loads Using Modifide MFCC

2017 ◽  
Vol 27 (6) ◽  
pp. 543-551
Author(s):  
Yong Bae Lim ◽  
Ki-Yeon Lee ◽  
Won Gyeong Park ◽  
Seongwon Cho
Keyword(s):  
Pattern Classification ◽  
Classification Method ◽  
Electrical Loads
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