Tea disease recognition technology based on a deep convolutional neural network feature learning method.
Yuhan FengPublished in: Int. J. Comput. Sci. Math. (2024)
Keyphrases
- convolutional neural network
- high accuracy
- pattern recognition
- cost function
- learning algorithm
- recognition algorithm
- prior knowledge
- dynamic programming
- unsupervised learning
- recognition rate
- case study
- deep architectures
- visual recognition
- detection method
- clustering method
- detection algorithm
- support vector machine
- learning process
- pairwise
- preprocessing
- feature set
- face images
- classification accuracy
- significant improvement
- face detection
- learning tasks
- recognition accuracy
- moving objects
- recognition process
- handwritten digits
- learning stage