Online Feature Transformation Learning for Cross-Domain Object Category Recognition

IEEE Transactions on Neural Networks and Learning Systems(2018)

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Abstract
In this paper, we introduce a new research problem termed online feature transformation learning in the context of multiclass object category recognition. The learning of a feature transformation is viewed as learning a global similarity metric function in an online manner. We first consider the problem of online learning a feature transformation matrix expressed in the original feature space and ...
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Key words
Training,Measurement,Kernel,Object recognition,Algorithm design and analysis,Fasteners,Adaptation models
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