Training deep convolution neural network with hard example mining for airport detection.
Bowen CaiZhiguo JiangHaopeng ZhangYuan YaoJie HuangPublished in: IGARSS (2017)
Keyphrases
- neural network
- training process
- training algorithm
- feed forward neural networks
- feedforward neural networks
- back propagation
- multi layer perceptron
- false positives
- data mining
- detection method
- object detection
- neural network model
- association rule mining
- train a neural network
- detection accuracy
- training patterns
- neural network training
- knowledge discovery
- training examples
- frequent itemsets
- artificial neural networks
- image processing
- detection algorithm
- training set
- fuzzy logic
- mining algorithm
- recurrent networks
- deep architectures
- data mining algorithms
- data sets
- text mining
- deep learning
- hidden markov models
- object detectors
- neural network is trained
- activation function
- boosted classifiers
- training phase
- rbf network
- anomaly detection
- false alarms
- multi layer
- neural nets
- recurrent neural networks
- pattern mining
- sequential patterns
- web mining
- self organizing maps
- frequent patterns
- test set