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Attitude Recognition Using Multi-resolution Cochleagram Features
Fasih Haider
,
Saturnino Luz
Deanery of Molecular, Genetic and Population Health Sciences
Centre for Medical Informatics
Usher Institute
Data Science and Artificial Intelligence
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Computer Science
Communication
100%
Recognition Accuracy
50%
Accuracy
50%
Application
50%
Decision Trees
50%
Testing
50%
Roles
50%
Support Vector Machine
50%
Predictive Model
50%
Random Forest Classifier
50%
Education
50%
Classifier
50%
Models
50%
Video Recording
50%
Extracted Data
50%
Algorithms
50%