Results 11 to 20 of about 573,498 (278)
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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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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Online convolutional dictionary learning [PDF]
2017 IEEE International Conference on Image Processing (ICIP), 2017 Accepted to be presented at ICIP ...
Liu, Jialin +3 more
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Classification-oriented Incremental Dictionary Learning Algorithm [PDF]
Jisuanji gongcheng, 2017 Aiming at the problem that the computation cost of the traditional classification-oriented dictionary learning algorithms is too expensive on big datasets,this paper proposes a novel classification-oriented incremental dictionary learning algorithm.In ...
ZHANG Zhiwu,JING Xiaoyuan,WU Fei
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Scale Adaptive Dictionary Learning [PDF]
IEEE Transactions on Image Processing, 2014 Dictionary learning has been widely used in many image processing tasks. In most of these methods, the number of basis vectors is either set by experience or coarsely evaluated empirically. In this paper, we propose a new scale adaptive dictionary learning framework, which jointly estimates suitable scales and corresponding atoms in an adaptive fashion
Lu, Cewu, Shi, Jianping, Jia, Jiaya
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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.
Schmitz, Morgan +7 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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DEVELOPING E-DICTIONARY AS AN INNOVATIVE MEDIA IN COVID-19 PANDEMIC
Celtic, 2021 Developing e-dictionary as an innovative online learning media in Covid-19 pandemic is a smart option in learning. It was needed to use in teaching English both online and offline.
Fitria Nur Hamidah +2 more
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Robust Multimodal Dictionary Learning [PDF]
, 2013 We propose a robust multimodal dictionary learning method for multimodal images. Joint dictionary learning for both modalities may be impaired by lack of correspondence between image modalities in training data, for example due to areas of low quality in one of the modalities.
Tian, Cao +5 more
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DiCoDiLe: Distributed Convolutional Dictionary Learning [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Convolutional dictionary learning (CDL) estimates shift invariant basis adapted to represent signals or images. CDL has proven useful for image denoising or inpainting, as well as for pattern discovery on multivariate signals. Contrarily to standard patch-based dictionary learning, patterns estimated by CDL can be positioned anywhere in signals or ...
Moreau, Thomas, Gramfort, Alexandre
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