Yes, sparse-coding-based methods are still important in the field of super-resolution, although their significance has evolved over time. Sparse coding has been a crucial component in the development of super-resolution algorithms, and it provided a solid foundation for later methods. It essentially...
For datasets with low dimensionality and low difficulty level, traditional methods outperform sparse coding-based outlier detection (SCOD) algorithms. But the trend reverses as the dimensionality or difficulty level increases. A threshold emerges as the point of intersection of the trends for SCOD and...
3.2 Sparse Coding in DNNs 此部分讨论了如何在DNNs中实现稀疏编码,以及它对于持续学习的重要性。 稀疏编码是一种信息表示方法,它在深度神经网络中通过激活网络中相对较少的单元(神经元)来表示输入数据。这种表示方式与人类大脑中神经编码的原理相似,其中只有少数神经元对特定的感官输入有显著的反应。在DNNs中,稀疏编码...
due to the lack of effective modeling methods, how the simultaneously recorded LFP can inform us about the brain dynamics remains a general challenge. In this paper, we propose a novel sparse coding based method to
4.1.3 Sparse coding methods Sparse coding proposed in Olshausen and Field (1997) provides a means to reduce sensor data dimension and represent them as an efficient linear combination of basis vectors. Due to the efficient data representation ability of sparse coding, a number of studies have use...
讲座论坛简介 In recent years, sparse coding has been widely used in many applications ranging from image processing to pattern recognition. In this talk, I will introduce some sparse coding based dictionary learning methods in image processing. An alternating numerical scheme for solving the resulting...
Automatic Image Region Annotation by Genetic Algorithm-Based Joint Classifier and Feature Selection in Ensemble System method than several well-known ensemble methods, supervised machine learning methods, and sparse coding-based methods in the regions-in-image classification ... AV Luong,TT Nguyen,CP ...
- 《Computer Methods & Programs in Biomedicine》 被引量: 19发表: 2013年 Online-Learning Structural Appearance Model for Robust Visual Tracking In this paper, we propose a robust tracking method with an online-learning structural appearance model based on local sparse coding and online metric ......
Edgar Roman-Rangel, Jean-Marc Odobez, Daniel Gatica- Perez, "Assessing Sparse Coding Methods for Contextual Shape Indexing of Maya Hieroglyphs", Journal of Multimedia, vol. 7, no. 2, pp. 179-192, 2012.Edgar Roman-Rangel, Jean-Marc Odobez, and Daniel Gatica-Perez. 2012. Assessing Sparse ...
The significantly higher recall and precision of DisScMM over the other methods suggest that the improved performance is not the result of a better tradeoff, but the result of an overall better method. We also observed that the unsupervised single general graph-based sparse coding methods, i.e....