Search Results for author:
Found 7 papers, 2 papers with code
An Unsupervised Deep-Learning Method for Bone Age Assessment
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.
Early Abnormal Detection of Sewage Pipe Network: Bagging of Various Abnormal Detection Algorithms
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.
An Unsupervised Deep-Learning Method for Fingerprint Classification: the CCAE Network and the Hybrid Clustering Strategy
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 to Solve the High-Order and the Non-Linear Ordinary Differential Equations: the Ratio Net
An effective and efficient method that solves the high-order and the non-linear ordinary differential equations is provided.
Converting Lattices into Networks: The Heisenberg Model and Its Generalizations with Long-Range Interactions
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
Networks with pixels embedding: a method to improve noise resistance in images classification
In the task of image classification, usually, the network is sensitive to noises.
Activation functions are not needed: the ratio net
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.
