Výsledky vyhledávání - "sparse coding"

Sparse nonnegative matrix factorization with ℓ(0)-constraints Autor Peharz, Robert, Pernkopf, Franz

“…Although nonnegative matrix factorization (NMF) favors a sparse and part-based representation of nonnegative data, there is no guarantee for this behavior…”
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Image Restoration via Reconciliation of Group Sparsity and Low-Rank Models Autor Zha, Zhiyuan, Wen, Bihan, Yuan, Xin, Zhou, Jiantao, Zhu, Ce

“…Image nonlocal self-similarity (NSS) property has been widely exploited via various sparsity models such as joint sparsity (JS) and group sparse coding (GSC)…”
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Object Recognition Using Tactile Measurements: Kernel Sparse Coding Methods Autor 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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Image Super-Resolution Using Deep Convolutional Networks Autor Chao Dong, Loy, Chen Change, Kaiming He, Xiaoou Tang

“…We propose a deep learning method for single image super-resolution (SR). Our method directly learns an end-to-end mapping between the low/high-resolution…”
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Learned Convolutional Sparse Coding Autor Sreter, Hillel, Giryes, Raja

“…We propose a convolutional recurrent sparse auto-encoder model. The model consists of a sparse encoder, which is a convolutional extension of the learned ISTA…”
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Laplacian Sparse Coding, Hypergraph Laplacian Sparse Coding, and Applications Autor Shenghua Gao, Tsang, Ivor Wai-Hung, Liang-Tien Chia

“…Sparse coding exhibits good performance in many computer vision applications. However, due to the overcomplete codebook and the independent coding process, the…”
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Fast sparse coding networks for anomaly detection in videos Autor Wu, Peng, Liu, Jing, Li, Mingming, Sun, Yujia, Shen, Fang

“…•Novel methods focus on high-level features rather than frame reconstruction error.•Discriminative Spatial-Temporal Fusion Features for anomaly detection in…”
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Deep Convolutional Neural Network for Multi-Modal Image Restoration and Fusion Autor Deng, Xin, Dragotti, Pier Luigi

“…In this paper, we propose a novel deep convolutional neural network to solve the general multi-modal image restoration (MIR) and multi-modal image fusion (MIF)…”
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Sparsity-Based Clustering for Large Hyperspectral Remote Sensing Images Autor Zhai, Han, Zhang, Hongyan, Zhang, Liangpei, Li, Pingxiang

“…Hyperspectral image (HSI) clustering is extremely challenging because of the complexity of the image structure. Recently, the subspace clustering algorithms…”
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Compositional Model Based Fisher Vector Coding for Image Classification Autor Lingqiao Liu, Peng Wang, Chunhua Shen, Lei Wang, van den Hengel, Anton, Chao Wang, Heng Tao Shen

“…Deriving from the gradient vector of a generative model of local features, Fisher vector coding (FVC) has been identified as an effective coding method for…”
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Video Anomaly Detection with Sparse Coding Inspired Deep Neural Networks Autor Luo, Weixin, Liu, Wen, Lian, Dongze, Tang, Jinhui, Duan, Lixin, Peng, Xi, Gao, Shenghua

“…This paper presents an anomaly detection method that is based on a sparse coding inspired Deep Neural Networks (DNN). Specifically, in light of the success of…”
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Robust Single Image Super-Resolution via Deep Networks With Sparse Prior Autor Ding Liu, Zhaowen Wang, Bihan Wen, Jianchao Yang, Wei Han, Huang, Thomas S.

“…Single image super-resolution (SR) is an ill-posed problem, which tries to recover a high-resolution image from its low-resolution observation. To regularize…”
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Fast Low-Rank Shared Dictionary Learning for Image Classification Autor Tiep Huu Vu, Monga, Vishal

“…Despite the fact that different objects possess distinct class-specific features, they also usually share common patterns. This observation has been exploited…”
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Simultaneous denoising and interpolation of 2D seismic data using data-driven non-negative dictionary learning Autor Nazari Siahsar, Mohammad Amir, Gholtashi, Saman, Abolghasemi, Vahid, Chen, Yangkang

“…•VNMF combines dictionary learning and sparse coding to find atoms of basis matrix.•Using non-negativity constraint to induce sparsity and reduce the solution…”
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Efficient kNN Classification With Different Numbers of Nearest Neighbors Autor Zhang, Shichao, Li, Xuelong, Zong, Ming, Zhu, Xiaofeng, Wang, Ruili

“…<inline-formula> <tex-math notation="LaTeX">{k} </tex-math></inline-formula> nearest neighbor (kNN) method is a popular classification method in data mining…”
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Nonlocal Patch Tensor Sparse Representation for Hyperspectral Image Super-Resolution Autor Yang Xu, Zebin Wu, Chanussot, Jocelyn, Zhihui Wei

“…This paper presents a hypserspectral image (HSI) super-resolution method, which fuses a low-resolution HSI (LR-HSI) with a high-resolution multispectral image…”
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Visual-Tactile Fusion for Object Recognition Autor Huaping Liu, Yuanlong Yu, Fuchun Sun, Gu, Jason

“…The camera provides rich visual information regarding objects and becomes one of the most mainstream sensors in the automation community. However, it is often…”
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Student’s t-uniform mixture-based robust sparse coding model for sign language recognition from thermal images Autor Ghosh, Saibal, Mondal, Aninda Sundar, Chatterjee, Amitava

“…For optical vision-based systems in human–robot interaction (HRI), the recognition performance is largely affected by environmental calamities e.g.,…”
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The Statistical Structure of the Hippocampal Code for Space as a Function of Time, Context, and Value Autor Lee, Jae Sung, Briguglio, John J, Cohen, Jeremy D, Romani, Sandro, Lee, Albert K

“…Hippocampal activity represents many behaviorally important variables, including context, an animal's location within a given environmental context, time, and…”
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Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection Autor Zhu, Xiaofeng, Li, Xuelong, Zhang, Shichao, Ju, Chunhua, Wu, Xindong

“…In this paper, we propose a new unsupervised spectral feature selection model by embedding a graph regularizer into the framework of joint sparse regression…”
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