Výsledky vyhledávání - "Kernel sparse coding"

Object Recognition Using Tactile Measurements: Kernel Sparse Coding Methods Autor 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 Autor Zhou, Zihan, Li, Jing, Quan, Yuhui, Xu, Ruotao

“… dictionaries and learnable dictionaries to guarantee both the stability and effectiveness of kernel sparse coding in the context of IQA…”
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MRI brain tumor segmentation based on texture features and kernel sparse coding Autor 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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Multiscale kernel sparse coding-based classifier for HRRP radar target recognition Autor 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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Supervised transfer kernel sparse coding for image classification Autor 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 Autor 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…”
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Compressive feature and kernel sparse coding-based radar target recognition Autor 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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Efficient 3D face recognition using local covariance descriptor and Riemannian kernel sparse coding Autor 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 sparse coding method for automatic target recognition in infrared imagery using covariance descriptor Autor 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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Ground-Based Cloud-Type Recognition Using Manifold Kernel Sparse Coding and Dictionary Learning Autor 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 Autor 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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BoMW: Bag of Manifold Words for One-Shot Learning Gesture Recognition From Kinect Autor Zhang, Lei, Zhang, Shengping, Jiang, Feng, Qi, Yuankai, Zhang, Jun, Guo, Yuliang, Zhou, Huiyu

“…In this paper, we study one-shot learning gesture recognition on RGB-D data recorded from Microsoft's Kinect. To this end, we propose a novel bag of manifold…”
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Transfer Kernel Sparse Coding Based on Dynamic Distribution Alignment for Image Representation Autor Huang, Wei, Gan, Min, Chen, Guangyong

“… In this paper, we propose a Transfer kernel sparse coding based on dynamic distribution alignment (TKSC-DDA…”
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Confident Kernel Sparse Coding and Dictionary Learning Autor Hosseini, Babak, Hammer, Barbara

“…In recent years, kernel-based sparse coding (K-SRC) has received a special attention due to its efficient representation of nonlinear data structures in the…”
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Manifold Kernel Sparse Representation of Symmetric Positive-Definite Matrices and Its Applications Autor Wu, Yuwei, Jia, Yunde, Li, Peihua, Zhang, Jian, Yuan, Junsong

“…The symmetric positive-definite (SPD) matrix, as a connected Riemannian manifold, has become increasingly popular for encoding image information. Most existing…”
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Confident Kernel Sparse Coding and Dictionary Learning Autor Hosseini, Babak, Hammer, Barbara

“…In recent years, kernel-based sparse coding (K-SRC) has received particular attention due to its efficient representation of nonlinear data structures in the…”
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Data reduction through kernel sparse coding Autor Aldine, I. Kamal, Dornaika, F., Cases, B., Assoum, A.

“…Sparse Modeling Representative Selection (SMRS) has been recently proposed for finding the most relevant instances in datasets. This method deploys a data…”
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Kernel Regularized Nonlinear Dictionary Learning for Sparse Coding Autor 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…”
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Tactile sequence classification using joint kernel sparse coding Autor Yang, Jingwei, Liu, Huaping, Sun, Fuchun, Gao, Meng

“… In this paper, a joint kernel sparse coding model is developed to tackle the multi-finger tactile sequence classification problem…”
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Non-Negative Kernel Sparse Coding for the Classification of Motion Data Autor Hosseini, Babak, Hülsmann, Felix, Botsch, Mario, Hammer, Barbara

“…We are interested in the decomposition of motion data into a sparse linear combination of base functions which enable efficient data processing. We combine two…”
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