Dual structure-aware consensus graph learning for incomplete multi-view clustering.

Balance guided incomplete multi-view spectral clustering.

Two-view attention-guided convolutional neural network for mammographic image classification.

Multi-feature fusion-based strabismus detection for children.

Vehicle re-identification based on keypoint segmentation of original image.

Breast mass classification based on supervised contrastive learning and multi-view consistency penalty on mammography.

Dual Distance Center Loss: The Improved Center Loss That Can Run Without the Combination of Softmax Loss, an Application for Vehicle Re-Identification and Person Re-Identification.

Global-Supervised Contrastive Loss and View-Aware-Based Post-Processing for Vehicle Re-Identification.

Breast Mass Detection in Mammography Based on Image Template Matching and CNN.

Exploring of alternative representations of facial images for face recognition.

Vehicle Re-identification Based on Dual Distance Center Loss.

Multi-View Convolutional Neural Networks for Mammographic Image Classification.