Human action recognition based on boosted feature selection and naive Bayes nearest-neighbor classification

2013 ◽  
Vol 93 (6) ◽  
pp. 1521-1530 ◽  
Author(s):  
Li Liu ◽  
Ling Shao ◽  
Peter Rockett
Keyword(s):  
Feature Selection ◽  
Action Recognition ◽  
Nearest Neighbor ◽  
Naive Bayes ◽  
Human Action Recognition ◽  
Human Action ◽  
Naïve Bayes ◽  
Nearest Neighbor Classification ◽  
Neighbor Classification

scholarly journals CGA: a new feature selection model for visual human action recognition

2020 ◽  
Author(s):  
Ritam Guha ◽  
Ali Hussain Khan ◽  
Pawan Kumar Singh ◽  
Ram Sarkar ◽  
Debotosh Bhattacharjee
Keyword(s):  
Feature Selection ◽  
Action Recognition ◽  
Human Action Recognition ◽  
Human Action ◽  
Selection Model ◽  
New Feature

scholarly journals Pattern and Feature Selection by Genetic Algorithms in Nearest Neighbor Classification

2000 ◽  
Vol 4 (2) ◽  
pp. 138-145 ◽  
Author(s):  
Hisao Ishibuchi ◽  
◽  
Tomoharu Nakashima
Keyword(s):  
Genetic Algorithm ◽  
Genetic Algorithms ◽  
Feature Selection ◽  
Computer Simulations ◽  
Nearest Neighbor ◽  
Classification Performance ◽  
Data Sets ◽  
Nearest Neighbor Classification ◽  
Reference Set ◽  
Neighbor Classification

This paper proposes a genetic-algorithm-based approach for finding a compact reference set in nearest neighbor classification. The reference set is designed by selecting a small number of reference patterns from a large number of training patterns using a genetic algorithm. The genetic algorithm also removes unnecessary features. The reference set in our nearest neighbor classification consists of selected patterns with selected features. A binary string is used for representing the inclusion (or exclusion) of each pattern and feature in the reference set. Our goal is to minimize the number of selected patterns, to minimize the number of selected features, and to maximize the classification performance of the reference set. Computer simulations on commonly used data sets examine the effectiveness of our approach.

Realistic Human Action Recognition With Multimodal Feature Selection and Fusion

2013 ◽  
Vol 43 (4) ◽  
pp. 875-885 ◽  
Author(s):  
Qiuxia Wu ◽  
Zhiyong Wang ◽  
Feiqi Deng ◽  
Zheru Chi ◽  
David Dagan Feng
Keyword(s):  
Feature Selection ◽  
Action Recognition ◽  
Human Action Recognition ◽  
Human Action
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