1 code implementation • 8 Oct 2023 • Fan He, Mingzhen He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens
To enhance kernel flexibility, this paper introduces the concept of Locally-Adaptive-Bandwidths (LAB) as trainable parameters to enhance the Radial Basis Function (RBF) kernel, giving rise to the LAB RBF kernel.
1 code implementation • 17 Oct 2022 • Sanli Tang, Zhongyu Zhang, Zhanzhan Cheng, Jing Lu, Yunlu Xu, Yi Niu, Fan He
Then, a robust distilling module (RDM) is applied to construct the global knowledge based on the prototypes and filtrate noisy global and local knowledge by measuring the discrepancy of the representations in two feature spaces.
no code implementations • 18 Sep 2022 • Mingzhen He, Fan He, Fanghui Liu, Xiaolin Huang
The theoretical foundation of RFFs is based on the Bochner theorem that relates symmetric, positive definite (PD) functions to probability measures.
no code implementations • 3 Feb 2022 • Mingzhen He, Fan He, Lei Shi, Xiaolin Huang, Johan A. K. Suykens
Asymmetric kernels naturally exist in real life, e. g., for conditional probability and directed graphs.
no code implementations • 22 Oct 2020 • Kexin Lv, Fan He, Xiaolin Huang, Jie Yang, Liming Chen
Nowadays, more and more datasets are stored in a distributed way for the sake of memory storage or data privacy.
1 code implementation • 16 Aug 2020 • Sizhe Chen, Fan He, Xiaolin Huang, Kun Zhang
This paper focuses on high-transferable adversarial attacks on detectors, which are hard to attack in a black-box manner, because of their multiple-output characteristics and the diversity across architectures.
1 code implementation • 6 May 2020 • Fan He, Kexin Lv, Jie Yang, Xiaolin Huang
This letter proposes a one-shot algorithm for feature-distributed kernel PCA.
1 code implementation • 17 Feb 2019 • Sanli Tang, Fan He, Xiaolin Huang, Jie Yang
To train the deep model, a dataset is established, namely DeepPCB, which contains 1, 500 image pairs with annotations including positions of 6 common types of PCB defects.