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11/29/2022
A Decentralized Framework for Kernel PCA with Projection Consensus Constraints
This paper studies kernel PCA in a decentralized setting, where data are...
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10/17/2022
Distilling Object Detectors With Global Knowledge
Knowledge distillation learns a lightweight student model that mimics a ...
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09/18/2022
Random Fourier Features for Asymmetric Kernels
The random Fourier features (RFFs) method is a powerful and popular tech...
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02/03/2022
Learning with Asymmetric Kernels: Least Squares and Feature Interpretation
Asymmetric kernels naturally exist in real life, e.g., for conditional p...
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10/22/2020
One-shot Distributed Algorithm for Generalized Eigenvalue Problem
Nowadays, more and more datasets are stored in a distributed way for the...
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08/16/2020
Attack on Multi-Node Attention for Object Detection
This paper focuses on high-transferable adversarial attacks on detection...
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05/06/2020
A Communication-Efficient Distributed Algorithm for Kernel Principal Component Analysis
Principal Component Analysis (PCA) is a fundamental technology in machin...
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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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09/12/2018
