Suchergebnisse - "Kernel sparse coding"

Object Recognition Using Tactile Measurements: Kernel Sparse Coding Methods von Liu, Huaping, Guo, Di, Sun, Fuchun

“… Dexterous robots have emerged in the last decade in response to the need for fine-motor-control assistance in applications as diverse as surgery, undersea …”
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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

“… 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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Image Quality Assessment Using Kernel Sparse Coding von Zhou, Zihan, Li, Jing, Quan, Yuhui, Xu, Ruotao

“… One key in image quality assessment (IQA) is the design of image representations that can capture the changes of image structures caused by distortions. Recent …”
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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.•A …”
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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

“… 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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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) are proposed for radar …”
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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 …”
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Efficient 3D face recognition using local covariance descriptor and Riemannian kernel sparse coding von Deng, Xing, Da, Feipeng, Shao, Haijian

“… •Different types of the efficient features based on keypoints neighborhood are extracted.•Local covariance descriptor is given to represent 3D face.•Properly …”
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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. Recognizing human actions in a video sequence using small …”
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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.•Experiments …”
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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

“… In this study, the authors exploit the sparse nature of radar targets, and propose a universal, target-oriented ‘compressive feature’ and kernel sparse …”
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Confident Kernel Sparse Coding and Dictionary Learning von 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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Sonar-based place recognition using joint sparse coding method von Xiangmei Zheng, Huaping Liu, Fuchun Sun, Meng Gao, Jiakui Li, Qing Zhang

“… The problem of place recognition is central to robot navigation. The robot needs to be able to recognize or at least to be able to estimate the likelihood that …”
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Tactile sequence classification using joint kernel sparse coding von Yang, Jingwei, Liu, Huaping, Sun, Fuchun, Gao, Meng

“… Tactile sensors in the robotic fingertips are used to capture multiple object properties such as texture, roughness, spatial features, compliance or friction …”
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