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Sparse Coding in Sparse Winner Networks
2007This paper investigates a mechanism for reliable generation of sparse code in a sparsely connected, hierarchical, learning memory. Activity reduction is accomplished with local competitions that suppress activities of unselected neurons so that costly global competition is avoided.
Janusz A. Starzyk +2 more
openaire +1 more source
2020 IEEE 32nd International Conference on Tools with Artificial Intelligence (ICTAI), 2020
Single-cell Ribonucleic Acid sequencing (scRNA-seq) has great potential to discover cell types, identify cell states, trace development lineages, and reconstruct the spatial organization of cells. Clustering transcriptomes profiled by scRNA-seq has been routinely conducted to reveal cell heterogeneity and diversity.
Yijie Wang, Bo Yang
openaire +1 more source
Single-cell Ribonucleic Acid sequencing (scRNA-seq) has great potential to discover cell types, identify cell states, trace development lineages, and reconstruct the spatial organization of cells. Clustering transcriptomes profiled by scRNA-seq has been routinely conducted to reveal cell heterogeneity and diversity.
Yijie Wang, Bo Yang
openaire +1 more source
2010
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative model with binary latent variables instead of continuous-valued latents as used in classical sparse coding.
Marc Henniges +4 more
openaire +1 more source
We study a sparse coding learning algorithm that allows for a simultaneous learning of the data sparseness and the basis functions. The algorithm is derived based on a generative model with binary latent variables instead of continuous-valued latents as used in classical sparse coding.
Marc Henniges +4 more
openaire +1 more source
Linear spatial pyramid matching using sparse coding for image classification
2009 IEEE Conference on Computer Vision and Pattern Recognition, 2009Jianchao Yang +3 more
semanticscholar +1 more source
Efficient sparse coding algorithms
Neural Information Processing Systems, 2006Honglak Lee +3 more
semanticscholar +1 more source
A Revisit of Sparse Coding Based Anomaly Detection in Stacked RNN Framework
IEEE International Conference on Computer Vision, 2017Weixin Luo, Wen Liu, Shenghua Gao
semanticscholar +1 more source
Fast sparse coding networks for anomaly detection in videos
Pattern Recognition, 2020Peng Wu +4 more
semanticscholar +1 more source
Robust Joint Graph Sparse Coding for Unsupervised Spectral Feature Selection
IEEE Transactions on Neural Networks and Learning Systems, 2017Xiaofeng Zhu +4 more
semanticscholar +1 more source
Image encryption using sparse coding and compressive sensing
Multidimensional systems and signal processing, 2019R. Ponuma, R. Amutha
semanticscholar +1 more source
MRI brain tumor segmentation based on texture features and kernel sparse coding
Biomedical Signal Processing and Control, 2019Jijun Tong +4 more
semanticscholar +1 more source