70 citations · 85 across the 7 of their papers we have counts for
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cs.CV2018★ 2 cited
Graph Autoencoder-Based Unsupervised Feature Selection with Broad and Local Data Structure Preservation
Siwei Feng, Marco F. Duarte
Feature selection is a dimensionality reduction technique that selects a subset of representative features from high dimensional data by eliminating irrelevant and redundant featur…
cs.CV2017★ 4 cited
Semi-Supervised Endmember Identification In Nonlinear Spectral Mixtures Via Semantic Representation
Yuki Itoh, Siwei Feng, Marco F. Duarte +1
This paper proposes a new hyperspectral unmixing method for nonlinearly mixed hyperspectral data using a semantic representation in a semi-supervised fashion, assuming the availabi…
cs.CV2016★ 6 cited
Wavelet-Based Semantic Features for Hyperspectral Signature Discrimination
Siwei Feng, Yuki Itoh, Mario Parente +1
Hyperspectral signature classification is a quantitative analysis approach for hyperspectral imagery which performs detection and classification of the constituent materials at the…