Search Results - Sparse coding residual

Joint group and residual sparse coding for image compressive sensing by Li, Lizhao, Xiao, Song, Zhao, Yimin

“… And external prior, which learned from clean data, may be not adaptive to the images. In this paper, we propose a joint group and residual sparse coding method for CS image recovery (JGRSC-CS…”
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Wearable Hearing Device Spectral Enhancement Driven by Non-Negative Sparse Coding-Based Residual Noise Reduction by Kim, Seon Man

“… with the hearing device requirements. The proposed speech enhancement technique, which exploits the concepts of both non-negative sparse coding (NNSC…”
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Student’s t-uniform mixture-based robust sparse coding model for sign language recognition from thermal images by Ghosh, Saibal, Mondal, Aninda Sundar, Chatterjee, Amitava

“… We have considered the American manual alphabet (AMA) library-based SL images here. For modeling the distribution of coding error residuals effectively, we propose a novel…”
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Compressing of Medium- to Low-Rate Transform Residuals With Semi-Extreme Sparse Coding as an Alternate Transform in Video Coding by Schimpf, Michael G., Lign, Nam, Liu, Ying

“… In contrast, sparse coding does not have these problems at lower bitrates, but it compresses…”
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Deep residual constrained reconstruction via learned convolutional sparse coding for low-dose CT imaging by Liu, Jin, Zhang, Tingyu, Kang, Yanqin, Wang, Yong, Zhang, Yikun, Hu, Dianlin, Chen, Yang

“… This paper proposes a deep residual-constrained reconstruction (DRCR) framework via learned convolutional sparse coding (LCSC) for LDCT imaging…”
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Sparse Coding of Intra Prediction Residuals for Screen Content Coding by Schimpf, Michael G., Ling, Nam, Shi, Yunhui, Liu, Ying

“… Fortunately, in sparse coding, the dictionary…”
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Image Denoising Algorithm Based on Deep Multi-scale Convolution Sparse Coding by Yin, Haitao, Wang, Tianyou

“…Aiming at the problem of lacking of interpretability of deep image denoising networks, this paper proposes a multi-scale convolutional sparse coding network（MSCSC-Net…”
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Noise Attenuation for CSEM Data via Deep Residual Denoising Convolutional Neural Network and Shift-Invariant Sparse Coding by Wang, Xin, Bai, Ximin, Li, Guang, Sun, Liwei, Ye, Hailong, Tong, Tao

“…) and shift-invariant sparse coding (SISC) for denoising CSEM data. Firstly, a sample library was constructed by adding simulated noises of different types and amplitudes to high-quality CSEM data collected…”
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Towards understanding residual and dilated dense neural networks via convolutional sparse coding by Zhang, Zhiyang, Zhang, Shihua

“… Inspired by these considerations, we propose two novel multilayer models: the residual convolutional sparse coding (Res-CSC…”
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Regularized Robust Coding for Face Recognition by Meng Yang, Lei Zhang, Jian Yang, Zhang, D.

“…). In SRC, the testing image is coded as a sparse linear combination of the training samples, and the representation fidelity is measured by the l 2 -norm or l 1 -norm of the coding residual…”
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Deep Residual Convolutional Sparse Coding Networks for Low Dose CT Imaging by Liu, Jin, Xia, Zhenyu, Kang, Yanqin, Qiang, Jun

“… In this paper, we present a simple yet effective model for low dose computed tomography (CT) image processing procedure, by combining with the advantages of residual convolution network and convolutional sparse coding (DRCSC…”
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Joint group and residual sparse coding for image compressive sensing by Li, Lizhao, Song, Xiao

“… In this paper, we propose a joint group and residual sparse coding method for CS image recovery (JGRSC-CS…”
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Weighted sparse coding residual minimization for visual tracking by Junchi Yan, Minglei Tong

“… Under such framework, it actually assumes that the coding residual follows Gaussian or Laplacian distribution, which may not be general enough to model the coding errors in real application scenarios…”
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Robust sparse coding for face recognition by Meng Yang, Lei Zhang, Jian Yang, Zhang, D.

“… In SRC, the testing image is represented as a sparse linear combination of the training samples, and the representation fidelity is measured by the l 2 -norm or l 1 -norm of coding residual…”
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Sparse/DCT (S/DCT) Two-Layered Representation of Prediction Residuals for Video Coding by Kang, Je-Won, Gabbouj, Moncef, Kuo, C.-C. Jay

“…In this paper, we propose a cascaded sparse/DCT (S/DCT) two-layer representation of prediction residuals, and implement this idea on top of the state-of-the-art high efficiency video coding (HEVC) standard…”
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Visual tracking via sparse coding and spectral residual by Li, Wei, Ding, Meng

“…This paper proposed a tracking algorithm based on sparse coding and spectral residual saliency under the framework of particle filtering…”
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Sparse Coding on Cascaded Residuals by Zhang, Tong, Porikli, Fatih

“… for dictionary learning and sparse coding. The cascade allows collaborative reconstructions at different resolutions using the same dimensional dictionary atoms…”
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Learned Interpretable Residual Extragradient ISTA for Sparse Coding by Kong, Lin, Sun, Wei, Shang, Fanhua, Liu, Yuanyuan, Liu, Hongying

“… A large number of experiments as well as some theories have proved the high efficiency of LISTA for solving sparse coding problems…”
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Fast and robust face recognition via coding residual map learning based adaptive masking by Yang, Meng, Feng, Zhizhao, Shiu, Simon C.K., Zhang, Lei

“… Recently, the representation (or coding) based FR schemes with sparse coding coefficients and coding residual have demonstrated good robustness to face occlusion…”
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Minimizing Residuals for Native-Nonnative Voice Conversion in a Sparse, Anchor-Based Representation of Speech by Liberatore, Christopher, Gutierrez-Osuna, Ricardo

“…We present a dictionary-learning algorithm for reducing the sparse coding residual of an exemplar-based method for native-to-nonnative voice conversion (VC…”
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