This paper studies kernel PCA in a decentralized setting, where data are...
Knowledge distillation learns a lightweight student model that mimics a
...
The random Fourier features (RFFs) method is a powerful and popular tech...
Asymmetric kernels naturally exist in real life, e.g., for conditional
p...
Nowadays, more and more datasets are stored in a distributed way for the...
This paper focuses on high-transferable adversarial attacks on detection...
Principal Component Analysis (PCA) is a fundamental technology in machin...
Previous works for PCB defect detection based on image difference and im...
Sign information is the key to overcoming the inevitable saturation erro...