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Found 2 papers, 1 papers with code
Unsupervised convolutional neural network fusion approach for change detection in remote sensing images
Our model has three features: the entire training process is conducted in an unsupervised manner, the network architecture is shallow, and the objective function is sparse.
Superpixel Segmentation Using Gaussian Mixture Model
Based on this assumption, each pixel is supposed to be drawn from a mixture of Gaussian distributions with unknown parameters (GMM).
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