Kernel sparse representation for time series classification
From MaRDI portal
Publication:508940
DOI10.1016/j.ins.2014.08.066zbMath1404.68095OpenAlexW2009646648MaRDI QIDQ508940
Liang Lin, Qinghua Hu, Wangmeng Zuo, Zhi Hua Chen
Publication date: 8 February 2017
Published in: Information Sciences (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.ins.2014.08.066
Time series, auto-correlation, regression, etc. in statistics (GARCH) (62M10) Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05)
Related Items (2)
A review on distance based time series classification ⋮ Functional echo state network for time series classification
Cites Work
- Unnamed Item
- A time series forest for classification and feature extraction
- Particle swarm optimization of ensemble neural networks with fuzzy aggregation for time series prediction of the Mexican Stock Exchange
- Proportional response dynamics in the Fisher market
- Fuzzy clustering of time series in the frequency domain
- An approach to dimensionality reduction in time series
- Multi-frame compression: theory and design.
- Invariant trajectory classification of dynamical systems with a case study on ECG
- Decoding by Linear Programming
- Dictionary Learning Algorithms for Sparse Representation
- Kernel Sparse Representation-Based Classifier
- $rm K$-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation
- Learning Category-Specific Dictionary and Shared Dictionary for Fine-Grained Image Categorization
- Sparse Representation With Kernels
- Design of Non-Linear Kernel Dictionaries for Object Recognition
- Stable signal recovery from incomplete and inaccurate measurements
- Compressed sensing
This page was built for publication: Kernel sparse representation for time series classification