Search Results - Kernel tensor sparse coding~

Kernel Tensor Sparse Coding Model for Precise Crop Classification of UAV Hyperspectral Image

Authors: Lixia Yang Rui Zhang Yajun Bao et al.

Source: IEEE Geoscience and Remote Sensing Letters. 20:1-5

Precise crop classification of UAV hyperspectral imagery using kernel tensor slice sparse coding based classifier

Authors: Lixia Yang Jinwei Chen Rui Zhang et al.

Source: Neurocomputing. 551:126487

Two Layer Tensor Form Convolutional Sparse Coding for Stereo Matching

Authors: Chunbo Cheng Wenjing Cui

Source: IEEE Access, Vol 9, Pp 109396-109406 (2021)

Subject Terms: Stereo matching, high-order tensor, convolutional sparse coding, deep learning, dictionary learning, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/9505664/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/04e6ac09e58644b7b77086b8048320b9

Kernel Tensor Sparse Coding Model for Precise Crop Classification of UAV Hyperspectral Image.

Authors: Yang, Lixia Zhang, Rui Bao, Yajun et al.

Source: IEEE Geoscience & Remote Sensing Letters; 2023, Vol. 20, p1-5, 5p

Large-Scale Subspace Clustering Based on Purity Kernel Tensor Learning

Authors: Yilu Zheng Shuai Zhao Xiaoqian Zhang et al.

Source: Electronics, Vol 13, Iss 1, p 83 (2023)

Subject Terms: cluster analysis, LS 2 C, sparse coding, kernel tensor, Electronics, TK7800-8360

Relation: https://www.mdpi.com/2079-9292/13/1/83; https://doaj.org/toc/2079-9292; https://doaj.org/article/1b35159ed6e5474e9006294a509e6a58

Availability: https://doi.org/10.3390/electronics13010083
https://doaj.org/article/1b35159ed6e5474e9006294a509e6a58

Deep High-Order Tensor Convolutional Sparse Coding for Hyperspectral Image Classification.

Authors: Cheng, Chunbo Li, Hong Peng, Jiangtao et al.

Source: IEEE Transactions on Geoscience & Remote Sensing. Mar2022, Vol. 60, p1-11. 11p.

Subject Terms: *FEATURE extraction, *IMAGE compression, *DEEP learning, *CLASSIFICATION

Sparse coding and dictionary learning for symmetric positive definite matrices: A kernel approach

Authors: Harandi, Mehrtash T. Sanderson, Conrad Hartley, Richard et al.

Source: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Index Terms: Keywords: Classification tasks; Computer vision problems; Dictionary learning; Discrimination accuracy; Kernel approaches; Local feature; Locality preserving projections; Non-Euclidean geometry; Reproducing Kernel Hilbert spaces; Riemannian manifold; Sparse coding, Conference paper

URL: http://hdl.handle.net/1885/69124
European Conference on Computer Vision (ECCV 2012)

Large-Scale Subspace Clustering Based on Purity Kernel Tensor Learning.

Authors: Zheng, Yilu Zhao, Shuai Zhang, Xiaoqian et al.

Source: Electronics (2079-9292); Jan2024, Vol. 13 Issue 1, p83, 20p

Subject Terms: KERNEL operating systems, CLUSTER analysis (Statistics)

Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach

Authors: Harandi, Mehrtash T. Sanderson, Conrad Hartley, Richard et al.

Index Terms: Computer Science - Machine Learning, Computer Science - Computer Vision and Pattern Recognition, Statistics - Machine Learning, I.2.6, I.5.1, I.5.4, I.2.10, text

URL: http://arxiv.org/abs/1304.4344

Tensor Sparse Coding for Positive Definite Matrices.

Authors: Sivalingam, Ravishankar Boley, Daniel Morellas, Vassilios et al.

Source: IEEE Transactions on Pattern Analysis & Machine Intelligence; Mar2014, Vol. 36 Issue 3, p592-605, 14p

Subject Terms: CALCULUS of tensors, CODING theory, DATA analysis, ANALYSIS of covariance, SPARSE matrices, MATHEMATICAL optimization, COMPUTER vision

Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach

Authors: Harandi, Mehrtash Sanderson, Conrad Hartley, Richard et al.

Subject Terms: Computer vision, Machine learning not elsewhere classified

Subject Geographic: Florence, Italy

Time: 2012-10-07 to 2012-10-13, Florence, Italy

Relation: Lecture Notes in Computer Science; European Conference on Computer Vision; Harandi, M; Sanderson, C; Hartley, R; Lovell, B, Sparse Coding and Dictionary Learning for Symmetric Positive Definite Matrices: A Kernel Approach, 2012, 7573, pp. 216-229; https://hdl.handle.net/10072/400955

Availability: https://hdl.handle.net/10072/400955
https://doi.org/10.1007/978-3-642-33709-3_16

Superpixel Tensor Sparse Coding for Structural Hyperspectral Image Classification.

Authors: Feng, Zhixi Wang, Min Yang, Shuyuan et al.

Source: IEEE Journal of Selected Topics in Applied Earth Observations & Remote Sensing; Apr2017, Vol. 10 Issue 4, p1632-1639, 8p

Laplacian Tensor sparse coding for image categorization.

Authors: Dammak, Mouna Mejdoub, Mahmoud Ben Amar, Chokri

Source: 2014 IEEE International Conference on Acoustics, Speech & Signal Processing (ICASSP); 2014, p3572-3576, 5p

Coding schemes in neural networks learning classification tasks.

Authors: van Meegen A Sompolinsky H

Source: Nature communications [Nat Commun] 2025 Apr 09; Vol. 16 (1), pp. 3354. Date of Electronic Publication: 2025 Apr 09.

Publication Type: Journal Article

Journal Info: Publisher: Nature Pub. Group Country of Publication: England NLM ID: 101528555 Publication Model: Electronic Cited Medium: Internet ISSN: 2041-1723 (Electronic) Linking ISSN: 20411723 NLM ISO Abbreviation: Nat Commun Subsets: PubMed not MEDLINE; MEDLINE

Deep side group sparse coding network for image denoising.

Authors: Yin, Haitao Wang, Tianyou

Source: IET Image Processing (Wiley-Blackwell); Jan2023, Vol. 17 Issue 1, p1-11, 11p

Subject Terms: IMAGE denoising, DEEP learning, LINEAR network coding

Sparse Coding on Symmetric Positive Definite Manifolds Using Bregman Divergences.

Authors: Harandi, Mehrtash T. Hartley, Richard Lovell, Brian et al.

Source: IEEE Transactions on Neural Networks & Learning Systems; Jun2016, Vol. 27 Issue 6, p1294-1306, 13p

Subject Terms: SPARSE approximations, LINEAR differential equations, COMPUTER programming, HUMAN facial recognition software, COMPUTER vision, MATHEMATICAL models

Multimodal classification of drug-naïve first-episode schizophrenia combining anatomical, diffusion and resting state functional resonance imaging.

Authors: Zhuang, Huixiang Liu, Ruihao Wu, Chaowei et al.

Source: Neuroscience Letters. Jul2019, Vol. 705, p87-93. 7p.

Subject Terms: *AUDITORY hallucinations, *DIFFUSION tensor imaging, *RECEIVER operating characteristic curves, *SUPPORT vector machines, *LIMBIC system, *MAGNETIC resonance imaging

Hierarchical Sparse Coding of Objects in Deep Convolutional Neural Networks.

Authors: Liu, Xingyu Zhen, Zonglei Liu, Jia

Source: Frontiers in Computational Neuroscience; 12/9/2020, Vol. 14, pN.PAG-N.PAG, 9p

Subject Terms: CONVOLUTIONAL neural networks, BUILDING operation management

Sparse coding and dictionary learning for symmetric positive definite matrices: a kernel approach

Authors: Harandi,Mehrtash T. Sanderson, Conrad Hartley, Richard et al.

Contributors: Harandi,Mehrtash T. Sanderson, Conrad Hartley, Richard et al.

Subject Terms: 1700 Computer Science, 2614 Theoretical Computer Science

Relation: orcid:0000-0001-6722-1754

Availability: https://espace.library.uq.edu.au/view/UQ:288800/UQ288800_OA.pdf
https://espace.library.uq.edu.au/view/UQ:288800

PainSeeker: a head pose-invariant deep learning method for assessing rat's pain by facial expressions.

Authors: Liu, Liu Li, Guang Deng, Dingfan et al.

Source: Frontiers in Veterinary Science. 2025, p1-13. 13p.