scholarly journals Image processing-based automatic detection of asphalt pavement rutting using a novel metaheuristic optimized machine learning approach

2021 ◽  
Author(s):  
Minh-Tu Cao ◽  
Kuan-Tsung Chang ◽  
Ngoc-Mai Nguyen ◽  
Van-Duc Tran ◽  
Xuan-Linh Tran ◽  
...  
Keyword(s):  
Machine Learning ◽  
Image Processing ◽  
Asphalt Pavement ◽  
Automatic Detection ◽  
Learning Approach ◽  
Machine Learning Approach

scholarly journals Redewiedergabe – Schritte zur automatischen Erkennung

2019 ◽  
Vol 47 (1) ◽  
pp. 216-248
Author(s):  
Annelen Brunner
Keyword(s):  
Machine Learning ◽  
Automatic Detection ◽  
Learning Approach ◽  
Manual Annotation ◽  
Narrative Texts ◽  
Rule Based ◽  
Machine Learning Approach ◽  
Different Types ◽  
Short Narrative ◽  
Over Time

Abstract This contribution presents a quantitative approach to speech, thought and writing representation (ST&WR) and steps towards its automatic detection. Automatic detection is necessary for studying ST&WR in a large number of texts and thus identifying developments in form and usage over time and in different types of texts. The contribution summarizes results of a pilot study: First, it describes the manual annotation of a corpus of short narrative texts in relation to linguistic descriptions of ST&WR. Then, two different techniques of automatic detection – a rule-based and a machine learning approach – are described and compared. Evaluation of the results shows success with automatic detection, especially for direct and indirect ST&WR.

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