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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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A Survey of Dictionary Learning Algorithms for Face Recognition
IEEE Access, 2017 During the past several years, as one of the most successful applications of sparse coding and dictionary learning, dictionary-based face recognition has received significant attention.
Yong Xu +3 more
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Dictionary Learning With BLOTLESS Update [PDF]
IEEE Transactions on Signal Processing, 2020 Algorithms for learning a dictionary to sparsely represent a given dataset typically alternate between sparse coding and dictionary update stages. Methods for dictionary update aim to minimise expansion error by updating dictionary vectors and expansion coefficients given patterns of non-zero coefficients obtained in the sparse coding stage. We propose
Qi Yu +3 more
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Wasserstein Dictionary Learning: Optimal Transport-Based Unsupervised Nonlinear Dictionary Learning [PDF]
SIAM Journal on Imaging Sciences, 2018 This paper introduces a new nonlinear dictionary learning method for histograms in the probability simplex. The method leverages optimal transport theory, in the sense that our aim is to reconstruct histograms using so-called displacement interpolations (a.k.a.
Nicolas Bonneel +2 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.
Flávio Teixeira, Karin Schnass
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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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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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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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