In this paper, based on the convolutional auto-encoder with constraints (CCAE), an unsupervised deep-learning model proposed in the classification of the fingerprint, we propose this model for the classification of the bone age and baptize it BA-CCAE.
The results show that this method can achieve the early anomaly detection with the highest precision of 98. 21%, the recall rate 63. 58% and F1-score of 0. 774.
The fingerprint classification is an important and effective method to quicken the process and improve the accuracy in the fingerprint matching process.
An effective and efficient method that solves the high-order and the non-linear ordinary differential equations is provided.
Moreover, by numerically calculating the eigenvalue of Heisenberg models and random walks on network with different numbers of links, we show that a system on lattice configurations with interactions between more particle-pairs have higher degeneracy of eigenstates.
Mathematical Physics Mathematical Physics Quantum Physics
In the task of image classification, usually, the network is sensitive to noises.
We compare the effectiveness and efficiency of the ratio net and that of the RBF and the MLP with various kinds of activation functions in the classification task on the mnist database of handwritten digits and the Internet Movie Database (IMDb) which is a binary sentiment analysis dataset.