Výsledky vyhledávání - "tensor sparse coding"

Enhancing Low‐Light Images: A Variation‐based Retinex with Modified Bilateral Total Variation and Tensor Sparse Coding Autor Yang, Weipeng, Gao, Hongxia, Zou, Wenbin, Huang, Shasha, Chen, Hongsheng, Ma, Jianliang

“… Additionally, tensor sparse coding is employed as a regularization term to remove noise and artifacts from the reflectance component…”
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Tensor Sparse Coding for Positive Definite Matrices Autor Sivalingam, Ravishankar, Boley, Daniel, Morellas, Vassilios, Papanikolopoulos, Nikolaos

“…In recent years, there has been extensive research on sparse representation of vector-valued signals. In the matrix case, the data points are merely vectorized…”
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Kernel Tensor Sparse Coding Model for Precise Crop Classification of UAV Hyperspectral Image Autor Yang, Lixia, Zhang, Rui, Bao, Yajun, Yang, Shuyuan, Jiao, Licheng

“…In this letter, a kernel tensor sparse coding model (KTSCM) is proposed for precise crop classification of unmanned aerial vehicle (UAV…”
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Superpixel Tensor Sparse Coding for Structural Hyperspectral Image Classification Autor Feng, Zhixi, Wang, Min, Yang, Shuyuan, Liu, Zhi, Liu, Linzan, Wu, Bin, Li, Hong

“…In this paper, a superpixel tensor sparse coding (STSC) based hyperspectral image classification (HIC…”
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3-D Seismic Noise Attenuation via Tensor Sparse Coding With Spatially Adaptive Coherence Constraint Autor He, Xin, Qian, Feng, Fan, Yuqi, Feng, Lingtian, Hu, Guangmin

“…Tensor sparse coding (TSC) is a method used to excavate 3D volume structures extended by sparse coding (SC…”
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K-CPD: Learning of overcomplete dictionaries for tensor sparse coding Autor Guifang Duan, Hongcui Wang, Zhenyu Liu, Junping Deng, Yen-Wei Chen

“… In this paper, we propose a new algorithm of overcomplete dictionary learning for tensor sparse coding, named K-CPD, by extension of K-SVD [8…”
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A Novel Two-Dimensional Tensor Sparse Coding Algorithm for Image Representation Autor Lu, Jiaren, Jiang, Fei, Shen, Ruimin

“…Sparse coding (SC) is an automatic feature extraction and selection technique that is widely used in unsupervised learning. However, conventional sparse coding…”
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Nonlocal Patch Tensor Sparse Representation for Hyperspectral Image Super-Resolution Autor Yang Xu, Zebin Wu, Chanussot, Jocelyn, Zhihui Wei

“… learning, and tensor sparse coding together. Finally, alternating direction…”
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Laplacian Tensor sparse coding for image categorization Autor Dammak, Mouna, Mejdoub, Mahmoud, Ben Amar, Chokri

“… Yet, this method neglects the relationships among features. To reduce the impact of this issue, we suggest in this paper, a Laplacian Tensor sparse coding method, which will aim to profit from the relationship among the local features…”
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Tensor Sparse Coding for Positive Definite Matrices Autor Sivalingam, Ravishankar, Boley, Daniel, Morellas, Vassilios, Papanikolopoulos, Nikos

“…In recent years, there has been extensive research on sparse representation of vector-valued signals. In the matrix case, the data points are merely vectorized…”
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Graph regularized tensor sparse coding for image representation Autor Fei Jiang, Xiao-Yang Liu, Hongtao Lu, Ruimin Shen

“… In this paper, we propose a novel graph regularized tensor sparse coding (GTSC) for image representation…”
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Hybrid Probabilistic Sparse Coding With Spatial Neighbor Tensor for Hyperspectral Imagery Classification Autor Yang, Lixia, Wang, Min, Yang, Shuyuan, Zhao, Hui, Jiao, Licheng, Feng, Xiangchu

“…) for hyperspectral imagery classification (HIC). By utilizing the tensor forms of hyperspectral pixels, we advance a tensor sparse-coding model which preserves as many original spatial constraints of a pixel and its spatial neighbors as possible…”
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Tensor Super-resolution for Seismic Data Autor Liao, Songjie, Liu, Xiao-Yang, Qian, Feng, Yin, Miao, Hu, Guang-Min

“…) seismic data from low-granularity data based on tensor sparse coding, which jointly trains a high-granularity dictionary and a low-granularity dictionary…”
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Joint multiple dictionary learning for Tensor sparse coding Autor Yifan Fu, Junbin Gao, Yanfeng Sun, Xia Hong

“…Traditional dictionary learning algorithms are used for finding a sparse representation on high dimensional data by transforming samples into a one-dimensional…”
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Graph Regularized Tensor Sparse Coding for Image Representation Autor Jiang, Fei, Xiao-Yang, Liu, Lu, Hongtao, Shen, Ruimin

“… In this paper, we propose a novel graph regularized tensor sparse coding (GTSC) for image representation…”
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Nonlocal Sparse Tensor Factorization for Semiblind Hyperspectral and Multispectral Image Fusion Autor Dian, Renwei, Li, Shutao, Fang, Leyuan, Lu, Ting, Bioucas-Dias, Jose M.

“…Combining a high-spatial-resolution multispectral image (HR-MSI) with a low-spatial-resolution hyperspectral image (LR-HSI) has become a common way to enhance…”
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Tensor LISTA: Differentiable sparse representation learning for multi-dimensional tensor Autor Zhao, Qi, Liu, Guangcan, Liu, Qingshan

“…The existing algorithms for sparse coding, which aim to seek sparse representation for given multi-dimensional signal, suffer from two main defects…”
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Random projections on manifolds of Symmetric Positive Definite matrices for image classification Autor Alavi, Azadeh, Wiliem, Arnold, Kun Zhao, Lovell, Brian C., Sanderson, Conrad

“…Recent advances suggest that encoding images through Symmetric Positive Definite (SPD) matrices and then interpreting such matrices as points on Riemannian…”
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Relational divergence based classification on Riemannian manifolds Autor Alavi, A., Harandi, M. T., Sanderson, C.

“…A recent trend in computer vision is to represent images through covariance matrices, which can be treated as points on a special class of Riemannian…”
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Generating discriminative object proposals via submodular ranking Autor Zhang, Yangmuzi

“… We present an efficient dictionary-based model for image classification task. We further extend the work to a discriminative dictionary learning method for tensor sparse coding…”
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