Suchergebnisse - kernel sparse coding

Multiscale kernel sparse coding-based classifier for HRRP radar target recognition von Xiong, Wei, Zhang, Gong, Liu, Su, Yin, Jiejun

“… With the combined multiscale Gaussian kernel and Morlet wavelet kernel, two multiscale kernel sparse coding-based classifiers (MKSCCs …”
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Compressive feature and kernel sparse coding-based radar target recognition von Yang, Shuyuan, Ma, Yonggang, Wang, Min, Xie, Dongmei, Wu, Yun, Jiao, Licheng

“… ’ and kernel sparse coding-based radar target recognition approach via the recent developed compressive sensing theory …”
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Object Recognition Using Tactile Measurements: Kernel Sparse Coding Methods von Liu, Huaping, Guo, Di, Sun, Fuchun

“… A kernel sparse coding method is therefore developed to address the tactile data representation and classification problem …”
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Image Quality Assessment Using Kernel Sparse Coding von Zhou, Zihan, Li, Jing, Quan, Yuhui, Xu, Ruotao

“… To overcome such a weakness, in this paper, we introduce nonlinear sparse coding to IQA. A kernel dictionary construction scheme is proposed, which combines analytic …”
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MRI brain tumor segmentation based on texture features and kernel sparse coding von Tong, Jijun, Zhao, Yingjie, Zhang, Peng, Chen, Lingyu, Jiang, Lurong

“… •A brain tumor segmentation method for FLAIR sequences MRI images.•Method is based on texture features and kernel sparse coding …”
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Supervised transfer kernel sparse coding for image classification von Li, Xiao, Fang, Min, Wang, Hongchun, Zhang, Ju-Jie

“… •We use kernel sparse coding in the context of transfer learning.•We maximize the correlation between source and target sparse coding of the same class …”
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Efficient Kernel Sparse Coding Via First-Order Smooth Optimization von Kim, Minyoung

“… We consider the problem of dictionary learning and sparse coding, where the task is to find a concise set of basis vectors that accurately represent the observation data with only small numbers of active bases …”
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Kernel locality-constrained sparse coding for head pose estimation von Kim, Hyunduk, Sohn, Myoung-Kyu, Kim, Dong-Ju, Lee, Sang-Heon

“… ) to overcome the limitation of Sparse Coding. The authors also propose kernel locality …”
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Efficient 3D face recognition using local covariance descriptor and Riemannian kernel sparse coding von Deng, Xing, Da, Feipeng, Shao, Haijian

“… •Local covariance descriptor is given to represent 3D face.•Properly Riemannian kernel sparse coding is used to identify the faces in probe. [Display omitted …”
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Kernel Tensor Sparse Coding Model for Precise Crop Classification of UAV Hyperspectral Image von 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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Kernel sparse coding method for automatic target recognition in infrared imagery using covariance descriptor von Yang, Chunwei, Yao, Junping, Sun, Dawei, Wang, Shicheng, Liu, Huaping

“… •Covariance Descriptor is used as feature representation of infrared target.•A kernel sparse coding method for ATR in infrared imagery is proposed …”
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Precise crop classification of UAV hyperspectral imagery using kernel tensor slice sparse coding based classifier von Yang, Lixia, Chen, Jinwei, Zhang, Rui, Yang, Shuyuan, Zhang, Xinyu, Jiao, Licheng

“… •The KTSSOMP algorithm adaptively learns the sparse coding coefficients of KTSSCC.•There are very few parameters in our proposed KTSSCC model …”
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Image classification algorithm based on stacked sparse coding deep learning model-optimized kernel function nonnegative sparse representation von An, Fengping

“… Image classification has received extensive attention as an important technical means of acquiring image information. It has been widely used in various …”
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Kernel-Based Multiview Joint Sparse Coding for Image Annotation von Zang, Miao, Zhang, Yongmei, Xu, Huimin

“… To reduce the gap, this paper puts forward a kernel-based multiview joint sparse coding (KMVJSC) framework for image annotation …”
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Ground-Based Cloud-Type Recognition Using Manifold Kernel Sparse Coding and Dictionary Learning von Li, Qian, Meng, Yong, Zhou, Zeming, Luo, Qixiang, Li, Miaoying

“… Based on the symmetric positive definite (SPD) matrix manifold, a novel method named “manifold kernel sparse coding and dictionary learning” (MKSCDL …”
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Semi-supervised action recognition in video via Labeled Kernel Sparse Coding and sparse L1 graph von Yang, Shuyuan, Wang, Xiuxiu, Yang, Lixia, Han, Yue, Jiao, Licheng

“… ► Labeled Kernel Sparse Coding. ► L1 Graph. ► Semi-supervised learning. ► Sparse representation …”
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Kernel Regularized Nonlinear Dictionary Learning for Sparse Coding von Liu, Huaping, Liu, He, Sun, Fuchun, Fang, Bin

“… For most sparse coding methods, data samples are first encoded as hand-crafted features, followed by another separate learning step that generates dictionary and sparse codes …”
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Manifold Kernel Sparse Representation of Symmetric Positive-Definite Matrices and Its Applications von Wu, Yuwei, Jia, Yunde, Li, Peihua, Zhang, Jian, Yuan, Junsong

“… In this paper, we propose a novel sparse representation method of SPD matrices in the data-dependent manifold kernel space …”
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Adaptive Visual Target Tracking Based on Label Consistent K-Svd Sparse Coding and Kernel Particle Filter von Yang, Jinlong, Chen, Xiaoping, Hu, Yu Hen, Liu, Jianjun

“… ). To track the target over time, a kernel particle filter (KPF) is proposed that integrates both local and global motion information of the target …”
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BoMW: Bag of Manifold Words for One-Shot Learning Gesture Recognition From Kinect von Zhang, Lei, Zhang, Shengping, Jiang, Feng, Qi, Yuankai, Zhang, Jun, Guo, Yuliang, Zhou, Huiyu

“… Since covariance matrices are SPD matrices and the space spanned by them is the SPD manifold, traditional learning methods in the Euclidean space, such as sparse coding, cannot be directly applied …”
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