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05/12/2023
Quaternion-valued Correlation Learning for Few-Shot Semantic Segmentation
Few-shot segmentation (FSS) aims to segment unseen classes given only a ...
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10/09/2017
Does Normalization Methods Play a Role for Hyperspectral Image Classification?
For Hyperspectral image (HSI) datasets, each class have their salient fe...
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09/12/2017
Sparse Representation Based Augmented Multinomial Logistic Extreme Learning Machine with Weighted Composite Features for Spectral Spatial Hyperspectral Image Classification
Although extreme learning machine (ELM) has been successfully applied to...
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09/08/2017
Extreme Sparse Multinomial Logistic Regression: A Fast and Robust Framework for Hyperspectral Image Classification
Although the sparse multinomial logistic regression (SMLR) has provided ...
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09/05/2017
