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检索条件"主题词=Multi-view Machine Learning"
4 条 记 录,以下是1-10 订阅
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A framework of multi-view machine learning for biological spectral unmixing of fluorophores with overlapping excitation and emission spectra
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BRIEFINGS IN BIOINFORMATICS 2025年 第1期26卷 bbaf005页
作者: Wang, Ruogu Feng, Yunlong Valm, Alex M. SUNY Albany Dept Biol 1400 Washington Ave Albany NY 12222 USA SUNY Albany RNA Inst 1400 Washington Ave Albany NY 12222 USA SUNY Albany Dept Math & Stat 1400 Washington Ave Albany NY 12222 USA
The accuracy of assigning fluorophore identity and abundance, known as spectral unmixing, in biological fluorescence microscopy images remains a significant challenge due to the substantial overlap in emission spectra... 详细信息
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Two Souls in an Adversarial Image: Towards Universal Adversarial Example Detection using multi-view Inconsistency  21
Two Souls in an Adversarial Image: Towards Universal Adversa...
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37th Annual Computer Security Applications Conference (ACSAC)
作者: Kiani, Sohaib Awan, Sana Lan, Chao Li, Fengjun Luo, Bo Univ Kansas Dept Elect Engn & Comp Sci Lawrence KS 66045 USA Univ Oklahoma Sch Comp Sci Norman OK 73019 USA
In the evasion attacks against deep neural networks (DNN), the attacker generates adversarial instances that are visually indistinguishable from benign samples and sends them to the target DNN to trigger misclassifica... 详细信息
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multi-view Collaborative Gaussian Process Dynamical Systems
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JOURNAL OF machine learning RESEARCH 2023年 第1期24卷 1−32-1−32页
作者: Sun, Shiliang Fei, Jingjing Zhao, Jing Mao, Liang East China Normal Univ Sch Comp Sci & Technol Shanghai 200062 Peoples R China Shanghai Jiao Tong Univ Dept Automat Shanghai 200240 Peoples R China
Gaussian process dynamical systems (GPDSs) have shown their effectiveness in many tasks of machine learning. However, when they address multi-view data, current GPDSs do not explicitly model the dependence between pri... 详细信息
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multi-view collaborative Gaussian process dynamical systems
The Journal of Machine Learning Research
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The Journal of machine learning Research 2023年 第1期24卷 12066-12097页
作者: Shiliang Sun Jingjing Fei Jing Zhao Liang Mao School of Computer Science and Technology East China Normal University Shanghai P. R. China and Department of Automation Shanghai Jiao Tong University Shanghai P. R. China School of Computer Science and Technology East China Normal University Shanghai P. R. China
Gaussian process dynamical systems (GPDSs) have shown their effectiveness in many tasks of machine learning. However, when they address multi-view data, current GPDSs do not explicitly model the dependence between pri... 详细信息
来源: 评论