scholarly journals Increment of diversity with quadratic discriminant analysis – an efficient tool for sequence pattern recognition in bioinformatics

2010 ◽  
pp. 89 ◽  
Author(s):  
Lu
Keyword(s):  
Pattern Recognition ◽  
Discriminant Analysis ◽  
Quadratic Discriminant Analysis ◽  
Efficient Tool ◽  
Sequence Pattern ◽  
Increment Of Diversity

scholarly journals Buildings Cracks Classification Using Zoning and Invariant Moment Features and Quadratic Discriminant Analysis Classifier

2019 ◽  
pp. 158
Author(s):  
I Gede Pasek Suta Wijaya ◽  
Ida Bagus Ketut Widiartha ◽  
Fitri Bimantoro ◽  
Aldian Wahyu Septiadi
Keyword(s):  
Pattern Recognition ◽  
Discriminant Analysis ◽  
Natural Disasters ◽  
Structural Engineering ◽  
Quadratic Discriminant Analysis ◽  
Shape Features ◽  
Invariant Moment ◽  
Building Assessment ◽  
Pattern Recognition Approach ◽  
Moment Features

Natural disasters such as earthquake often cause cracks in buildings and even demolish them. The cracked building must be assessed by an expert to determine whether the building is still suitable for use or not. The feasibility of a building is assessed based on the width, depth, and length of cracks in walls, beams, columns, and even the floor of the building. Only experienced experts can do such kind of task so that building assessment requires many structural engineering experts when an earthquake has happened. However, structural engineering experts are limited which able to do buildings assessment in the area affected. Therefore, the research based on a pattern recognition approach is conducted to classify cracks in buildings to be mild, moderate, or severe. It will be part of automatic building assessment based on the crack analysis. An alternative pattern recognition approach for classifying buildings cracks is a scheme based on zoning and shape features and Quadratic discriminant analysis (QDA) classifier. Based on the experimental results the proposed scheme gives reasonable achievement more than 80% of accuracy.

Locus equations and pattern recognition

1998 ◽  
Vol 21 (2) ◽  
pp. 277-277
Author(s):  
Terrance M. Nearey
Keyword(s):  
Pattern Recognition ◽  
Discriminant Analysis ◽  
Quadratic Discriminant Analysis ◽  
Data Set ◽  
Additional Information ◽  
Place Of Articulation ◽  
Second Formant

Although the relations between second formant (F2) onset and F2 vowel are extremely regular and contain important information about place of articulation of the voiced stops, they are not sufficient for its identification. Using quadratic discriminant analysis of a new data set, it is shown that F3 onset and F3 vowel can also contribute substantial additional information to help identify the consonants.

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