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  • Search: subject:"Sparse coding"
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Subject
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Sparse coding 2 Activation Cost 1 Basin of attraction 1 Basis pursuit 1 Hebb rule 1 Independent component analysis 1 Layered neural network 1 Linear predictive coding 1 Matching pursuit 1 Randomized Framework 1 Reconstruction Error 1 Self-control threshold method 1 Signal-to-noise ratio method 1 Sparse Coding 1 Speech analysis and representation 1 Storage capacity 1 Visual Saliency 1
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Undetermined 3
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Article 3
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Undetermined 2 English 1
Author
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Fu, Kui 1 Goddard, John 1 Horiguchi, Tsuyoshi 1 Katayama, Katsuki 1 Li, Jia 1 Rocha, Luis F. 1 Rufiner, Hugo L. 1 Sakata, Yasuo 1 Torres, María E. 1
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Physica A: Statistical Mechanics and its Applications 2 International Journal of Multimedia Data Engineering and Management (IJMDEM) 1
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RePEc 2 Other ZBW resources 1
Showing 1 - 3 of 3
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A Randomized Framework for Estimating Image Saliency Through Sparse Signal Reconstruction
Fu, Kui; Li, Jia - In: International Journal of Multimedia Data Engineering … 9 (2018) 2, pp. 1-20
This article proposes a randomized framework that estimates image saliency through sparse signal reconstruction. The authors simulate the measuring process of ground-truth saliency and assume that an image is free-viewed by several subjects. In the free-viewing process, each subject attends to a...
Persistent link: https://www.econbiz.de/10012046537
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Statistical method for sparse coding of speech including a linear predictive model
Rufiner, Hugo L.; Goddard, John; Rocha, Luis F.; … - In: Physica A: Statistical Mechanics and its Applications 367 (2006) C, pp. 231-251
Recently, different methods for obtaining sparse representations of a signal using dictionaries of waveforms have been studied. They are often motivated by the way the brain seems to process certain sensory signals. Algorithms have been developed using a specific criterion to choose the...
Persistent link: https://www.econbiz.de/10011060654
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Sparse coding for layered neural networks
Katayama, Katsuki; Sakata, Yasuo; Horiguchi, Tsuyoshi - In: Physica A: Statistical Mechanics and its Applications 310 (2002) 3, pp. 532-546
We investigate storage capacity of two types of fully connected layered neural networks with sparse coding when binary …
Persistent link: https://www.econbiz.de/10011059011
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