Výsledky vyhľadávania - Online conventional sparse coding

Query-aware sparse coding for web multi-video summarization Autor Ji, Zhong, Ma, Yaru, Pang, Yanwei, Li, Xuelong

“… To this end, this paper proposes a novel query-aware approach by formulating the multi-video summarization in a sparse coding framework, where the web images searched by a query are taken…”
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Wearable Hearing Device Spectral Enhancement Driven by Non-Negative Sparse Coding-Based Residual Noise Reduction Autor 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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Recent advances via convolutional sparse representation model for pixel-level image fusion Autor Pan, Yue, Lan, Tianye, Xu, Chongyang, Zhang, Chengfang, Feng, Ziliang

“…) or conventional multiscale transform (MST) have some drawbacks that are difficult to overcome. As an alternative form of SR, convolutional sparse representation (CSR…”
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Compressive Online Robust Principal Component Analysis via n - \ell1 Minimization Autor Huynh Van Luong, Deligiannis, Nikos, Seiler, Jurgen, Forchhammer, Soren, Kaup, Andre

“…) into sparse and low-rank components. Different from conventional batch RPCA, which processes all the data directly, our approach considers a small set of measurements taken per data vector (frame…”
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Learning Complex Spatio-Temporal Configurations of Body Joints for Online Activity Recognition Autor Qi, Jin, Wang, Zhangjing, Lin, Xiancheng, Li, Chunming

“…). In this paper, the authors propose an automatic joint configuration learning method, based on dictionary learning and sparse representation…”
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Clustering K-SVD for sparse representation of images Autor Fu, Jun, Yuan, Haikuo, Zhao, Rongqiang, Ren, Luquan

“…K-singular value decomposition (K-SVD) is a frequently used dictionary learning (DL) algorithm that iteratively works between sparse coding and dictionary updating…”
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Progressive Dictionary Learning With Hierarchical Predictive Structure for Low Bit-Rate Scalable Video Coding Autor Dai, Wenrui, Shen, Yangmei, Xiong, Hongkai, Jiang, Xiaoqian, Zou, Junni, Taubman, David

“…Dictionary learning has emerged as a promising alternative to the conventional hybrid coding framework…”
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Online Non-Negative Convolutive Pattern Learning for Speech Signals Autor Dong Wang, Vipperla, R., Evans, N., Zheng, T. F.

“…) and its sparse alternative, convolutive non-negative sparse coding (CNSC). Both algorithms, however, place unrealistic demands on computing power and memory which prohibit their application in large scale tasks…”
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Stochastic Online Dictionary Learning for Speech Source Localization and Separation in Spherical Harmonic Domain Autor Varanasi, Vishnuvardhan, Hegde, Rajesh

“… Conventional sparsity based methods utilize an overcomplete dictionary to find a sparse linear combination of dictionary atoms…”
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Dictionary Learning in Visual Computing Autor Zhang, Qiang

“… data so as to support optimal sparse representation of the data. In contrast to conventional clustering algorithms like K-means, where a data point is associated…”
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Sparse Coding Techniques with Deep Neural Network for EEG Auto Encoding: Enhancing Feature Representation Efficiency Autor Rama, M., Nalini, T, Khyathi, P, Saikiran, N., Silpa, Ch

“… To improve the effectiveness of feature representation, describe a unique method in this paper for EEG autoencoding that combines Sparse Coding Techniques with Deep Neural Networks (SCT-DNN…”
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Adaptive Multilayered Dictionary Learning for Compressive-Sensing-Based Image Reconstruction Autor Fu, Jun, Yuan, Haikuo, Zhao, Rongqiang, Ren, Luquan

“… However, conventional DL methods are limited by two factors. First, the sparse level for each training sample is fixed, which may lead under-fitting or over-fitting of sparse representation of a sample…”
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Sparse Representations-based depth images quality assessment Autor Sebai, Dorsaf, Sehli, Maryem, Ghorbel, Faouzi

“…The conventional 2D metrics can be used for measuring the quality of depth maps, but none of them is considered to be efficient and is not accurate when used for evaluating 3D quality…”
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DNN-Based Physical-Layer Network Coding with Low-Complexity Codec Autor Wang, Xuesong, Xie, Xinyan, Wang, Wenhao, Qi, Wenchao, He, Yuna, Lu, Lu

“…Physical-layer network coding (PNC) is considered as a good option given its ability in doubling the throughput of a two-way relay network (TWRN…”
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Infrared and visible image fusion using modified spatial frequency-based clustered dictionary Autor Budhiraja, Sumit, Sharma, Rajat, Agrawal, Sunil, Sohi, Balwinder S.

“… In this paper, an efficient image fusion method based on sparse representation with clustered dictionary is proposed for infrared and visible images…”
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Performing Aperture Domain Model Image REconstruction (ADMIRE) Using a Deep Neural Network Sparse Encoder Autor Khan, Christopher, Van Sloun, Ruud J.G., Byram, Brett

“… Therefore, in this work, we propose using a deep neural network sparse encoder for performing the model fits of ADMIRE…”
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Hierarchical discriminative sparse coding via bidirectional connections Autor Zhengping Ji, Wentao Huang, Kenyon, G., Bettencourt, L. M. A.

“…Conventional sparse coding learns optimal dictionaries of feature bases to approximate input signals…”
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Exploring Spike Encoder Designs for Near-Sensor Edge Computing Autor Jin, Jingang, Zhang, Zhenhang, Qiu, Qinru

“… These architectures convert multivariate time series into multichannel spike sequences, performing sparse coding that effectively…”
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Query-Aware Sparse Coding for Multi-Video Summarization Autor Zhong Ji, Ma, Yaru, Pang, Yanwei, Li, Xuelong

“… To this end, this paper proposes a novel query-aware approach by formulating the multi-video summarization in a sparse coding framework, where the web images searched by the query are taken…”
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The JPEG Pleno Learning-Based Point Cloud Coding Standard: Serving Man and Machine Autor Guarda, Andre F. R., Rodrigues, Nuno M. M., Pereira, Fernando

“… representations may functionally make the difference. Deep learning has emerged as a powerful tool in this domain, offering advanced techniques for compressing point clouds more efficiently than conventional coding methods while also allowing effective…”
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