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检索条件"主题词=sparse coding"
2101 条 记 录,以下是2031-2040 订阅
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DICTIONARY LEARNING FOR A sparse APPEARANCE MODEL IN VISUAL TRACKING
DICTIONARY LEARNING FOR A SPARSE APPEARANCE MODEL IN VISUAL ...
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IEEE International Conference on Image Processing
作者: Sylvain Rousseau Pierre Chainais Christelle Garnier Ecole Centrale de Lille CRIStAL UMR CNRS 9189 Institut Mines-Telecom/Telecom Lille CRIStAL UMR CNRS 9189
This paper presents a novel approach to visual object tracking based on particle filtering. The tracked object is modelled by a sparse representation provided by dictionary learning. Such an approach permits to descri... 详细信息
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Parallel Optimization of K-SVD Algorithm for Image Denoising Based on Spark
Parallel Optimization of K-SVD Algorithm for Image Denoising...
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2016 IEEE 13th International Conference on Signal Processing(ICSP2016)
作者: Tan Chao Wei Zhihui Wu Ze Bin Chen Yufeng Gu Jingping School of Science Nanjing University of Science and Technology School of Computer Science and Engineering Nanjing University of Science and Technology
With the development of society, the image size and resolution are gradually increasing. At the same time, the fast image processing is required. The K-SVD algorithm is an iterative method that alternates between spar... 详细信息
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GROUP SPARSITY RESIDUAL WITH NON-LOCAL SAMPLES FOR IMAGE DENOISING
GROUP SPARSITY RESIDUAL WITH NON-LOCAL SAMPLES FOR IMAGE DEN...
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IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Zhiyuan Zha Xinggan Zhang Qiong Wang Yechao Bai Lan Tang Xin Yuan School of Electronic Science and Engineering Nanjing University Nanjing 210023 China Nokia Bell Labs 600 Mountain Avenue Murray Hill NJ 07974 USA
Inspired by group-based sparse coding, recently proposed group sparsity residual (GSR) scheme has demonstrated superior performance in image processing. However, one challenge in GSR is to estimate the residual by usi... 详细信息
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NON-RIGID 3D SHAPE RECOGNITION VIA DICTIONARY LEARNING
NON-RIGID 3D SHAPE RECOGNITION VIA DICTIONARY LEARNING
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IEEE International Conference on Acoustics, Speech, and Signal Processing
作者: Yin Zhou Kai Liu Kenneth E. Barner University of Delaware Newark DE USA 19716 School of Electrical Engineering and Information Sichuan University China
Non-rigid 3D shape recognition is an important and challenging research topic in computer vision and pattern recognition. This paper presents a novel algorithm, called dictionary learning based on supervised locally l... 详细信息
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DENOISING OF IMAGE PATCHES VIA sparse REPRESENTATIONS WITH LEARNED STATISTICAL DEPENDENCIES
DENOISING OF IMAGE PATCHES VIA SPARSE REPRESENTATIONS WITH L...
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IEEE International Conference on Acoustics, Speech and Signal Processing
作者: Tomer Faktor Yonina C. Eldar Michael Elad Departments of Electrical Engineering and Computer Science Technion — Israel Institute of Technology Haifa 32000 Israel
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between the dictionary atoms. Following recent w... 详细信息
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Encoding sparse Features in a Bidirectional Associative Memory
Encoding Sparse Features in a Bidirectional Associative Memo...
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International Joint Conference on Neural Networks
作者: Nareg Berberian Zoya Aamir Sebastien Helie Sylvain Chartier School of Psychology 136 Jean-Jacques Lussier University of Ottawa Department of Psychological Sciences 703 Third Purdue University
Bidirectional Associative Memories (BAMs) are artificial neural networks that can learn and recall various types of associations. Although BAM models have shown great promise at modeling human cognitive processes, the... 详细信息
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Combining sparse NMF with deep neural network: A new classification-based approach for speech enhancement
Combining sparse NMF with deep neural network: A new classif...
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IEEE International Conference on Acoustics, Speech and Signal Processing
作者: H. W. Tseng M. Hong Z. Q. Luo Electr. & Comput. Eng. Univ. of Minnesota Minneapolis MN USA
In this work, we consider enhancing a target speech from a single-channel noisy observation corrupted by non-stationary noises at low signal-to-noise ratios (SNRs). We take a classification-based approach, where the o... 详细信息
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Research on Fault Diagnosis Method of Coolant System in Nuclear Power Plant
Research on Fault Diagnosis Method of Coolant System in Nucl...
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作者: Qiu Pinda Ye Liqiang Shandong Nuclear Power Company
Coolant system is one of the most important systems in nuclear power plant. The safety and stability of the system is the basis of the stable operation of the whole nuclear power unit. Firstly, the typical fault chara... 详细信息
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LABEL CONSISTENT RECURSIVE LEAST SQUARES DICTIONARY LEARNING FOR IMAGE CLASSIFICATION
LABEL CONSISTENT RECURSIVE LEAST SQUARES DICTIONARY LEARNING...
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IEEE International Conference on Image Processing
作者: Sergio Matiz Kenneth E. Barner Department of Electrical and Computer Engineering University of Delaware
A label consistent recursive least squares dictionary learning algorithm, LC-RLSDLA, is proposed to learn discriminative dictionaries for image classification based on sparse coding. The class label information and a ... 详细信息
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Prediction of O-Glycosylation Sites in Protein Sequence by Kernel Principal Component Analysis
Prediction of O-Glycosylation Sites in Protein Sequence by K...
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International Conference on Computational Aspects of Social Networks(国际社会网络计算会议 CASoN 2010)
作者: Xue-mei Yang Xue-wei Cui Xue-zhu Yang College of Mathematics and Information Science Xianyang Normal University Xianyang China Department of Applied Mathematics Northwestern Polytechnical Univ. Xi'an China Agricultural Technology Generalization Station of Shangluo Shangluo China
O-glycosylation is one of the main types of the mammalian protein glycosylation, it occurs on the particular site of serine and threonine. It's important to predict the O-glycosylation site. In this paper, we prop... 详细信息
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