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检索条件"主题词=sparse coding"
2095 条 记 录,以下是2001-2010 订阅
排序:
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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ADAPTIVE COMPRESSED SENSING - A NEW CLASS OF SELF-ORGANIZING coding MODELS FOR NEUROSCIENCE
ADAPTIVE COMPRESSED SENSING - A NEW CLASS OF SELF-ORGANIZING...
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IEEE International Conference on Acoustics, Speech, and Signal Processing
作者: William K. Coulter Christopher J. Hillar Guy Isley Friedrich T. Sommer University of California Berkeley 156 Stanley Hall MC 3220 Berkeley CA 94720-3220 Mathematical Sciences Research Institute 17 Gauss Way Berkeley CA 94120
sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. However, conventional sparse coding model... 详细信息
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Factorized Latent Spaces with Structured Sparsity  10
Factorized Latent Spaces with Structured Sparsity
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Annual Conference on Neural Information Processing Systems
作者: Yangqing Jia Mathieu Salzmann Trevor Darrell UC Berkeley EECS and ICSI UC Berkeley EECS and ICSI TTI-Chicago
Recent approaches to multi-view learning have shown that factorizing the information into parts that are shared across all views and parts that are private to each view could effectively account for the dependencies a... 详细信息
来源: 评论
The Maximal Causes of Natural Scenes are Edge Filters  10
The Maximal Causes of Natural Scenes are Edge Filters
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Annual Conference on Neural Information Processing Systems
作者: Gervasio Puertas Joerg Bornschein Joerg Luecke Frankfurt Institute for Advanced Studies Goethe-University Frankfurt Germany
We study the application of a strongly non-linear generative model to image patches. As in standard approaches such as sparse coding or Independent Component Analysis, the model assumes a sparse prior with independent... 详细信息
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Constrained Nonnegative Matrix Factorization for Hyperspectral Unmixing
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IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 2009年 第1期47卷 161-173页
作者: Jia, Sen Qian, Yuntao Zhejiang Univ Coll Comp Sci Inst Artificial Intelligence Hangzhou 310027 Zhejiang Peoples R China
Hyperspectral unmixing is a process to identify the constituent materials and estimate the corresponding fractions from the mixture. During the last few years, nonnegative matrix factorization (NMF), as a suitable can... 详细信息
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From sparse Solutions of Systems of Equations to sparse Modeling of Signals and Images
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SIAM REVIEW 2009年 第1期51卷 34-81页
作者: Bruckstein, Alfred M. Donoho, David L. Elad, Michael Technion Israel Inst Technol Dept Comp Sci IL-32000 Haifa Israel Stanford Univ Dept Stat Stanford CA 94305 USA
A full-rank matrix A is an element of R-nxm with n < m generates an underdetermined system of linear equations Ax = b having infinitely many solutions. Suppose we seek the sparsest solution, i.e., the one with the ... 详细信息
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An application of formal concept analysis to semantic neural decoding
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ANNALS OF MATHEMATICS AND ARTIFICIAL INTELLIGENCE 2009年 第3-4期57卷 233-248页
作者: Endres, Dominik Maria Foeldiak, Peter Priss, Uta Univ Clin Tubingen Sect Theoret Sensomotor Dept Cognit Neurol Hertie Inst Clin Brain Res Tubingen Germany Univ Clin Tubingen Ctr Integrat Neurosci Tubingen Germany Univ St Andrews Sch Psychol St Andrews KY16 9AJ Fife Scotland Edinburgh Napier Univ Sch Comp Edinburgh Midlothian Scotland
This paper proposes a novel application of Formal Concept Analysis (FCA) to neural decoding: the semantic relationships between the neural representations of large sets of stimuli are explored using concept lattices. ... 详细信息
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Experience-Dependent, Rapid Structural Changes in Hippocampal Pyramidal Cell Spines
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CEREBRAL CORTEX 2009年 第11期19卷 2572-2578页
作者: Kitanishi, Takuma Ikegaya, Yuji Matsuki, Norio Yamada, Maki K. Univ Tokyo Chem Pharmacol Lab Grad Sch Pharmaceut Sci Tokyo 1130033 Japan Japan Sci & Technol Agcy PRESTO Sakigake Kawaguchi Saitama 3320012 Japan
Morphological changes in dendritic spines may contribute to the fine tuning of neural network connectivity. The relationship between spine morphology and experience-dependent neuronal activity, however, is largely unk... 详细信息
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Using Quantum Associative Memory to Simulate the Brain Functions
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Journal of Donghua University 2010年 第2期000卷
作者: ZHENG Ling-xiang ZHOU Chang-le School of Information Science and Technology Xiamen UniversityXiamen 361005China
To simulate the brain functions, a quantum associative memory combined with information preprocessing by a sparse coding model is presented. The sparse coding scheme is used to simulate the information transformation ... 详细信息
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An Efficient coding Model for Image Representation
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16th International Conference on Neural Information Processing (ICONIP 2009)
作者: Li, Zhiqing Shi, Zhiping Li, Zhixin Shi, Zhongzhi Chinese Acad Sci Key Lab Intelligent Informat Proc Inst Comp Technol Beijing 100190 Peoples R China
The role of early sensory neurons is to remove statistical redundancy in the sensory input. In this paper, we propose a novel efficient coding model combining sparse coding strategy and selective attention strategy fo... 详细信息
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