Application of Convolutional Neural Network Method with MobileNet V1 and ResNet-152 V2 Architecture in Batik Motif Classification.
Aulia Chusnyriani Sani ZulkarnaenI Gusti Ngurah Rejski Ariantara PutraNada Fauzia RevianaRahmawati HidayahNur IbrahimNor Kumalasari Caecar PratiwiYunendah Nur FuadahPublished in: BWCCA (2023)
Keyphrases
- classification accuracy
- convolutional neural network
- classification method
- high accuracy
- machine learning
- accuracy rate
- classification process
- classification scheme
- significant improvement
- preprocessing
- cross validation
- benchmark data sets
- computational cost
- high precision
- support vector machine
- detection method
- support vector machine svm
- clustering method
- pattern classification
- decision rules
- classification rate
- computational complexity
- data sets
- training phase
- pattern recognition
- computer vision
- ordinal data
- feature vectors
- machine learning methods
- detection algorithm
- image classification
- feature set
- feature space
- principal component analysis
- pairwise
- probabilistic model
- cost function