Results 31 to 40 of about 6,752,036 (307)
Block Orthonormal Overcomplete Dictionary Learning [PDF]
, 2013 In the field of sparse representations, the overcomplete dictionary learning problem is of crucial importance and has a growing application pool where it is used.
Dumitrescu, Bogdan, Rusu, Cristian
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Denoising of Seismic Data Based on Block Dictionary Learning Theory
CT Lilun yu yingyong yanjiu, 2022 With the increasingly complex observation environment of oil and gas exploration, the seismic data collected are often mixed with various noise signals, resulting in the effective weak signal caused by the exploration target is covered, which seriously ...
Junjie ZHOU +3 more
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Learning of structured graph dictionaries [PDF]
2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2012 We propose a method for learning dictionaries towards sparse approximation of signals defined on vertices of arbitrary graphs. Dictionaries are expected to describe effectively the main spatial and spectral components of the signals of interest, so that their structure is dependent on the graph information and its spectral representation. We first show
Zhang, X, Dong, X, Frossard, P
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Supervised Dictionary Learning
CoRR, 2008 It is now well established that sparse signal models are well suited to restoration tasks and can effectively be learned from audio, image, and video data. Recent research has been aimed at learning discriminative sparse models instead of purely reconstructive ones.
Mairal, Julien +4 more
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Improved Cross-Label Suppression Dictionary Learning for Face Recognition
IEEE Access, 2018 Cross-label suppression dictionary learning is an effective approach to preserve the label property for signal representation in face recognition. This paper presents a proposed improved dictionary learning algorithm, considering the tradeoffs between ...
Tian Zhou +4 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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IEEE Access, 2019 Analysis-synthesis dictionary pair learning, which can provide a comprehensive view of data representation, has been applied in various computer vision tasks.
Heyou Chang +4 more
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Multi-task hybrid dictionary learning for vehicle classification in sensor networks
International Journal of Distributed Sensor Networks, 2018 In this article, we propose a novel multi-task hybrid dictionary learning approach for moving vehicle classification tasks using multi-sensor networks to improve the classification accuracy in complex scenes with low time complexity, which considers both
Rui Wang +3 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 0001 +5 more
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Applied Sciences, 2021 Dictionary learning has been an important role in the success of data representation. As a complete view of data representation, hybrid dictionary learning (HDL) is still in its infant stage.
Jianqiang Song +5 more
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