A Comparative Study of Food Intake Detection Using Artificial Neural Network and Support Vector Machine.
Muhammad FarooqJuan M. FontanaAkua F. BoatengMegan A. McCroryEdward SazonovPublished in: ICMLA (1) (2013)
Keyphrases
- using artificial neural networks
- support vector machine
- detection algorithm
- automatic detection
- artificial neural networks
- neural network model
- false alarms
- detection accuracy
- finite element analysis
- multi class
- object detection
- feature selection
- event detection
- training data
- detection method
- svm classifier
- machine learning
- detection rate
- neural network
- friction coefficient
- kernel methods
- false positives
- anomaly detection
- support vector
- data mining