Absent Multiple Kernel Learning Algorithms.

Xinwang Liu,Lei Wang,Xinzhong Zhu,Miaomiao Li,En Zhu,Tongliang Liu,Li Liu,Yong Dou,Jianping Yin

IEEE Transactions on Pattern Analysis and Machine Intelligence（2020）

引用 62|浏览148

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摘要

Multiple kernel learning (MKL) has been intensively studied during the past decade. It optimally combines the multiple channels of each sample to improve classification performance. However, existing MKL algorithms cannot effectively handle the situation where some channels of the samples are missing, which is not uncommon in practical applications. This paper proposes three absent MKL (AMKL) algo...

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关键词

Kernel,Optimization,Signal processing algorithms,Clustering algorithms,Classification algorithms,Pattern analysis

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