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Domain Adaptation Broad Learning System Based on Locally Linear Embedding
It shows that our approach can bring a new superiority for BLS.
On the Selective and Invariant Representation of DCNN for High-Resolution Remote Sensing Image Recognition
Owing to its superiority in feature representation, DCNN has exhibited remarkable performance in scene recognition of high-resolution remote sensing (HRRS) images and classification of hyper-spectral remote sensing images.
Variational Mixture of Gaussian Process Experts
Our gating network is more flexible than previous generative approaches as inputs for each expert are modeled by a Gaussian mixture model.
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