Dictionary Learning is an unsupervised machine learning technique used to analyze and represent data using a set of basis functions called ‘atoms’ or ‘dictionary elements’. Dictionary Learning techniques can be used in image processing, signal processing, and other applications where data representation is important. The goal of this technique is to find the optimal dictionary atoms that best represent the given data, without requiring any labels or additional information from the user.
Table Of Content:
- Sparse dictionary learning - Wikipedia
- Merriam-Webster's Learner's Dictionary
- Task-Driven Dictionary Learning
- Online Dictionary Learning for Sparse Coding
- Wasserstein Dictionary Learning: Optimal Transport-based ...
- Low-dose X-ray CT reconstruction via dictionary learning
- Dictionary learning in Fourier-transform scanning tunneling ...
- Learning Definition & Meaning | Dictionary.com
- Dictionary learning for transcriptomics data reveals type-specific ...
- Supervised Dictionary Learning
1. Sparse dictionary learning - Wikipedia
https://en.wikipedia.org/wiki/Sparse_dictionary_learning
One of the key principles of dictionary learning is that the dictionary has to be inferred from the input data. The emergence of sparse dictionary learning ...
2. Merriam-Webster's Learner's Dictionary
https://learnersdictionary.com/
Clear and simple definitions in basic American English from North America's leading language experts. More usage examples than any other dictionary.
3. Task-Driven Dictionary Learning
https://arxiv.org/abs/1009.5358
Sep 27, 2010 ... In this paper, we present a general formulation for supervised dictionary learning adapted to a wide variety of tasks, and present an ...
4. Online Dictionary Learning for Sparse Coding
https://www.di.ens.fr/~fbach/mairal_icml09.pdfOnline Dictionary Learning for Sparse Coding. Julien Mairal. [email protected]. Francis Bach. [email protected]. INRIA,1 45 rue d'Ulm 75005 Paris, ...
5. Wasserstein Dictionary Learning: Optimal Transport-based ...
https://arxiv.org/abs/1708.01955
Aug 7, 2017 ... ... Optimal Transport-based unsupervised non-linear dictionary learning ... (a.k.a. Wasserstein barycenters) between dictionary atoms; ...
6. Low-dose X-ray CT reconstruction via dictionary learning
https://pubmed.ncbi.nlm.nih.gov/22542666/
Apr 20, 2012 ... Low-dose X-ray CT reconstruction via dictionary learning. IEEE Trans Med Imaging. 2012 Sep;31(9):1682-97. doi: 10.1109/TMI.2012.2195669.
7. Dictionary learning in Fourier-transform scanning tunneling ...
https://www.nature.com/articles/s41467-020-14633-1
Feb 26, 2020 ... Apart from being quantitatively superior to traditional Fourier analysis, we show that this algorithm also uncovers phase sensitive information ...
8. Learning Definition & Meaning | Dictionary.com
https://www.dictionary.com/browse/learning
Learning is the act of acquiring new knowledge or is the knowledge that has been gained through study. The word learning is also a form of the verb learn.
9. Dictionary learning for transcriptomics data reveals type-specific ...
https://www.degruyter.com/document/doi/10.1515/itit-2019-0048/html
Mar 11, 2020 ... Dictionary learning is a sparsity enforcing method that has widely been used in many fields, such as image processing, pattern classification, ...
10. Supervised Dictionary Learning
https://papers.nips.cc/paper/3448-supervised-dictionary-learning
Authors. Julien Mairal, Jean Ponce, Guillermo Sapiro, Andrew Zisserman, Francis Bach. Abstract. It is now well established that sparse signal models are ...
What does Dictionary Learning do?
Dictionary Learning is an unsupervised machine learning technique used to analyze and represent data using a set of basis functions called ‘atoms’ or ‘dictionary elements’.
What are the applications of Dictionary Learning?
Dictionary Learning techniques can be used in image processing, signal processing, and other applications where data representation is important.
What is the goal of this technique?
The goal of this technique is to find the optimal dictionary atoms that best represent the given data, without requiring any labels or additional information from the user.
Is Dictionary Learning supervised?
No, Dictionary Learning is an unsupervised machine learning technique.
Does it require additional information from the user?
No, it does not require any labels or additional information from the user.
Conclusion:
Overall, Dictionary Learning is a powerful unsupervised machine learning technique useful for representing data for applications in many different fields. It finds optimal dictionary atoms which best represent a given dataset without requiring any extra input from users.
