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Tensor Discriminative Locality Alignment for Hyperspectral Image Spectral-Spatial Feature Extraction.

, , , and . IEEE Trans. Geoscience and Remote Sensing, 51 (1): 242-256 (2013)

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Simultaneous Spectral-Spatial Feature Selection and Extraction for Hyperspectral Images., , , , , and . CoRR, (2019)Hyperspectral signal unmixing based on constrained non-negative matrix factorization approach., , , , , and . Neurocomputing, (2016)A minimal Munsell value error based laser printer model., , , , and . Neurocomputing, (2016)A batch-mode active learning framework by querying discriminative and representative samples for hyperspectral image classification., , , and . Neurocomputing, (2016)A spectral-spatial based local summation anomaly detection method for hyperspectral images., , , and . Signal Processing, (2016)Regularizing Deep Convolutional Neural Networks with a Structured Decorrelation Constraint., , , , and . ICDM, page 519-528. IEEE Computer Society, (2016)Denoising auto-encoders toward robust unsupervised feature representation., , , , and . IJCNN, page 4721-4728. IEEE, (2016)Nonlocal Patch Based t-SVD for Image Inpainting: Algorithm and Error Analysis., , , , , and . AAAI, page 2419-2426. AAAI Press, (2018)A Low-Rank Tensor Decomposition Based Hyperspectral Image Compression Algorithm., , , and . PCM (1), volume 9916 of Lecture Notes in Computer Science, page 141-149. Springer, (2016)TLR: Transfer Latent Representation for Unsupervised Domain Adaptation., , , , , and . ICME, page 1-6. IEEE Computer Society, (2018)