Results 251 to 260 of about 572,458 (282)
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2017
The lack of labeled data presents a common challenge in many computer vision and machine learning tasks. Semi-supervised learning and transfer learning methods have been developed to tackle this challenge by utilizing auxiliary samples from the same domain or from a different domain, respectively.
Sheng Li, Yun Fu
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The lack of labeled data presents a common challenge in many computer vision and machine learning tasks. Semi-supervised learning and transfer learning methods have been developed to tackle this challenge by utilizing auxiliary samples from the same domain or from a different domain, respectively.
Sheng Li, Yun Fu
openaire +1 more source
2018
Dictionary learning can be formulated as an optimization problem in several ways. We present here the basic form, where the representation error is minimized under the constraint of sparsity, and discuss several views and relations with other data analysis and signal processing problems. We study some properties of the DL problem and their implications
Bogdan Dumitrescu, Paul Irofti
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Dictionary learning can be formulated as an optimization problem in several ways. We present here the basic form, where the representation error is minimized under the constraint of sparsity, and discuss several views and relations with other data analysis and signal processing problems. We study some properties of the DL problem and their implications
Bogdan Dumitrescu, Paul Irofti
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Leveraging seed dictionaries to improve dictionary learning
2016 IEEE International Conference on Image Processing (ICIP), 2016Most state-of-the-art dictionary learning algorithms (DLAs) are iterative, and must begin with an initial estimate of the dictionary, referred to as the seed. A seed can be generated randomly, but it has been shown that choosing a more intelligent seed often yields a better solution.
Daniel Reichman +2 more
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Dictionary Reduction: Automatic Compact Dictionary Learning for Classification
2017A complete and discriminative dictionary can achieve superior performance. However, it also consumes extra processing time and memory, especially for large datasets. Most existing compact dictionary learning methods need to set the dictionary size manually, therefore an appropriate dictionary size is usually obtained in an exhaustive search manner. How
Yang Song +4 more
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Dictionary learning for integrative, multimodal and scalable single-cell analysis
Nature Biotechnology, 2023Tim Stuart +2 more
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miRPathDB 2.0: a novel release of the miRNA Pathway Dictionary Database
Nucleic Acids Research, 2020Tim Kehl, Fabian Kern, Christina Backes
exaly
IEEE Transactions on Neural Networks and Learning Systems, 2021
Hao Tang, Hong Liu, Niculae Sebe
exaly
Hao Tang, Hong Liu, Niculae Sebe
exaly

