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09/27/2022
FG-UAP: Feature-Gathering Universal Adversarial Perturbation
Deep Neural Networks (DNNs) are susceptible to elaborately designed pert...
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04/23/2020
Random Features for Kernel Approximation: A Survey in Algorithms, Theory, and Beyond
Random features is one of the most sought-after research topics in stati...
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10/07/2019
Deep Kernel Learning via Random Fourier Features
Kernel learning methods are among the most effective learning methods an...
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02/17/2019
Online PCB Defect Detector On A New PCB Defect Dataset
Previous works for PCB defect detection based on image difference and im...
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10/13/2018
Varifocal-Net: A Chromosome Classification Approach using Deep Convolutional Networks
Chromosome classification is critical for karyotyping in abnormality dia...
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09/26/2018
Generalization Properties of hyper-RKHS and its Application to Out-of-Sample Extensions
Hyper-kernels endowed by hyper-Reproducing Kernel Hilbert Space (hyper-R...
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01/22/2018
