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IEEE Access, 2016 Two popular representation learning paradigms are dictionary learning and deep learning. While dictionary learning focuses on learning “basis” and “features” by matrix factorization, deep learning focuses on extracting ...
Snigdha Tariyal +3 more
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Compressed Dictionary Learning [PDF]
Journal of Fourier Analysis and Applications, 2020 In this paper we show that the computational complexity of the Iterative Thresholding and K-residual-Means (ITKrM) algorithm for dictionary learning can be significantly reduced by using dimensionality-reduction techniques based on the Johnson-Lindenstrauss lemma.
Schnass, Karin, Teixeira, Flavio
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Learning Multimodal Dictionaries [PDF]
IEEE Transactions on Image Processing, 2007 Real-world phenomena involve complex interactions between multiple signal modalities. As a consequence, humans are used to integrate at each instant perceptions from all their senses in order to enrich their understanding of the surrounding world.
Monaci, Gianluca +5 more
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Optimization of English Online Learning Dictionary System Based on Multiagent Architecture
Complexity, 2021 As a universal language in the world, English has become a necessary language communication tool under the globalization of trade. Intelligent, efficient, and reasonable English language-assisted learning system helps to further improve the English ...
Ying Wang
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Wörterbuch-Apps und deren Einsatz beim Fremdsprachenlernen Eine interdisziplinäre Studie [PDF]
Beni-Suef University International Journal of Humanities and Social Sciences, 2023 Dictionary apps and their use in foreign language learningAn interdisciplinary studyAbstractIn conventional linguistic research, the topic of "media and technology in foreign language learning" as well as so-called "e-learning and m-learning" currently ...
Mohammed Yosof
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Distributed dictionary learning [PDF]
2016 50th Asilomar Conference on Signals, Systems and Computers, 2016 The paper studies distributed Dictionary Learning (DL) problems where the learning task is distributed over a multi-agent network with time-varying (nonsymmetric) connectivity. This formulation is relevant, for instance, in big-data scenarios where massive amounts of data are collected/stored in different spatial locations and it is unfeasible to ...
Daneshmand, Amir +2 more
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Breast Image Classification Based on Multi-feature Joint Supervised Dictionary Learning [PDF]
Jisuanji gongcheng, 2018 Aiming at the problem that the unsupervised dictionary learning algorithm has low image classification accuracy,a supervised dictionary learning classification algorithm which combines with multiple image features is proposed.It uses the convolution ...
LIU Lihui,XU Jun,GONG Lei
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Class-Specific Sparse Principal Component Analysis for Visual Classification
IEEE Access, 2020 Extensive research has demonstrated that dictionary learning is active in improving the performance of the representation based classification. However, dictionary learning suffers from lacking an effective dictionary structure that can well tradeoff the
Fei Pan +3 more
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Geometry-Aware Discriminative Dictionary Learning for PolSAR Image Classification
Remote Sensing, 2021 In this paper, we propose a new discriminative dictionary learning method based on Riemann geometric perception for polarimetric synthetic aperture radar (PolSAR) image classification.
Yachao Zhang +4 more
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