Yong Shi

Classifying With Adaptive Hyper-Spheres: An Incremental Classifier Based on Competitive Learning

2017 · IEEE Transactions on Systems Man and Cybernetics Systems

Nowadays, datasets are always dynamic and patterns in them are changing. Instances with different labels are intertwined and often linearly inseparable, which bring new challenges to traditional learning algorithms. This paper proposes adaptive hyper-sphere (AdaHS), …

DFR: Deep Feature Reconstruction for Unsupervised Anomaly Segmentation

2020 · arXiv (Cornell University)

Automatic detecting anomalous regions in images of objects or textures without priors of the anomalies is challenging, especially when the anomalies appear in very small areas of the images, making difficult-to-detect visual variations, such as …