Results 31 to 40 of about 391,798 (266)
IEEE Access, 2020 Since the cost of labeling data is getting higher and higher, we hope to make full use of the large amount of unlabeled data and improve image classification effect through adding some unlabeled samples for training.
Wenjuan Zhang +2 more
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Orbit Determination Using SLR Data for STSAT-2C:Short-arc Analysis [PDF]
Journal of Astronomy and Space Sciences, 2015 In this study, we present the results of orbit determination (OD) using satellite laser ranging (SLR) data for the Science and Technology Satellite (STSAT)-2C by a short-arc analysis.
Young-Rok Kim +3 more
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Local-Sample-Weighted Clustering Ensemble with High-Order Graph Diffusion
Mathematics, 2023 The clustering ensemble method has attracted much attention because it can improve the stability and robustness of single clustering methods. Among them, similarity-matrix-based methods or graph-based methods have had a wide range of applications in ...
Jianwen Gan, Yunhui Liang, Liang Du
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Sparse Activity and Sparse Connectivity in Supervised Learning
J. Mach. Learn. Res., 2013 Sparseness is a useful regularizer for learning in a wide range of applications, in particular in neural networks. This paper proposes a model targeted at classification tasks, where sparse activity and sparse connectivity are used to enhance classification capabilities.
Markus Thom, Günther Palm
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Analysis of a Simulated Optical GSO Survey Observation for the Effective Maintenance of the Catalogued Satellites and the Orbit Determination Strategy [PDF]
Journal of Astronomy and Space Sciences, 2015 A strategy is needed for a regional survey of geosynchronous orbits (GSOs) to monitor known space objects and detect uncataloged space objects. On the basis of the Inter-Agency Debris Committee’s recommendation regarding the protected region of ...
Jin Choi +8 more
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Sparse PCA from Sparse Linear Regression
CoRR, 2018 To appear in NeurIPS ...
Bresler, Guy +2 more
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Sparse and Low-Rank Constrained Tensor Factorization for Hyperspectral Image Unmixing
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 Third-order tensors have been widely used in hyperspectral remote sensing because of their ability to maintain the 3-D structure of hyperspectral images.
Pan Zheng, Hongjun Su, Qian Du
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Yankuang ceshiSince the cathode material of selenium hollow cathode lamps is a lead–selenium alloy, it can simultaneously excite characteristic spectral lines for both lead and selenium.
Weikang HU +4 more
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Tomographic SAR Imaging Method Based on Sparse and Low-rank Structures
Leida xuebao, 2022 This paper proposes a three-dimensional tomographic SAR imaging method based on a combined sparse and low-rank structures. The traditional Compressed Sensing (CS) based tomographic SAR imaging methods only utilize the sparse representation and ...
Yao ZHAO +4 more
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Hyperspectral Image Denoising via
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingThis article studies the mixed noise removal problem for hyperspectral images (HSIs), which often suffer from Gaussian noise and sparse noise. Conventional denoising models mainly employ the $L_{1}$-norm-based regularizers to remove sparse noise and ...
Xin Tian, Kun Xie, Hanling Zhang
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