using the tactile image. The authors used three feature extraction methods: handcrafted features, convolutional features and … optimal feature extraction method. Design/methodology/approach This paper aims to estimate contact location from sparse and … collected by probes can be used for contact localization. Introducing a batch normalization layer after the feature extraction …

-dimensionality-trait-driven learning paradigm is proposed for feature extraction and classifier selection. The proposed paradigm consists of three main … stages: categorization of high dimensional data, high-dimensionality-trait-driven feature extraction, and high … < feature dimensions < sample size, and feature dimensions ≥ sample size. In the second stage, some typical feature extraction …

-dimensionality-trait-driven learning paradigm is proposed for feature extraction and classifier selection. The proposed paradigm consists of three main … stages: categorization of high dimensional data, high-dimensionality-trait-driven feature extraction, and high … < feature dimensions < sample size, and feature dimensions ≥ sample size. In the second stage, some typical feature extraction …