Results 11 to 20 of about 572,458 (282)
Task-Driven Dictionary Learning [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2012 Modeling data with linear combinations of a few elements from a learned dictionary has been the focus of much recent research in machine learning, neuroscience and signal processing. For signals such as natural images that admit such sparse representations, it is now well established that these models are well suited to restoration tasks.
Mairal, Julien +2 more
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Weakly Supervised Dictionary Learning
IEEE Transactions on Signal Processing, 2018 We present a probabilistic modeling and inference framework for discriminative analysis dictionary learning under a weak supervision setting. Dictionary learning approaches have been widely used for tasks such as low-level signal denoising and restoration as well as high-level classification tasks, which can be applied to audio and image analysis ...
Zeyu You +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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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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