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Found 4 papers, 1 papers with code
A density peaks clustering algorithm with sparse search and K-d tree
It is proved that the algorithm can effectively reduce the computational complexity of the original DPC from $O(n^2K)$ to $O(n(n^{1-1/K}+k))$.
Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning
In this study, we propose a deep neural network based few-shot learning approach for rolling bearing fault diagnosis with limited data.
ComplexFace: a Multi-Representation Approach for Image Classification with Small Dataset
State-of-the-art face recognition algorithms are able to achieve good performance when sufficient training images are provided.
A Deep Learning Algorithm for One-step Contour Aware Nuclei Segmentation of Histopathological Images
A nucleus-boundary model is introduced to predict nuclei and their boundaries simultaneously using a fully convolutional neural network.
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