Ensemble extreme learning machine and sparse representation classification

DOI10.1016/j.jfranklin.2016.08.024zbMath1349.93304OpenAlexW2511220713MaRDI QIDQ344642

Minxia Luo, Jiuwen Cao, Jiaoping Hao, Xiaoping Lai, Chi-Man Vong

Publication date: 24 November 2016

Published in: Journal of the Franklin Institute (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jfranklin.2016.08.024

zbMATH Keywords

computational complexityextreme learning machineenhanced ensemble based ELM and SRC algorithm (En-SRC)sparse representation classification

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Application models in control theory (93C95) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (7)

Efficient point-by-point engine calibration using machine learning and sequential design of experiment strategies ⋮ An intelligent propagation distance estimation algorithm based on fundamental frequency energy distribution for periodic vibration localization ⋮ Prediction model of permeability index for blast furnace based on the improved multi-layer extreme learning machine and wavelet transform ⋮ Adaptive and online network intrusion detection system using clustering and extreme learning machines ⋮ Improved multi-layer online sequential extreme learning machine and its application for hot metal silicon content ⋮ Non-iterative and fast deep learning: multilayer extreme learning machines ⋮ A predictor-corrector affine scaling method to train optimized extreme learning machine

Cites Work

• Bayesian signal detection with compressed measurements
• Maximum correntropy criterion based sparse adaptive filtering algorithms for robust channel estimation under non-Gaussian environments
• Optimal scheduling for reference tracking or state regulation using reinforcement learning
• Landmark recognition with sparse representation classification and extreme learning machine
• Improved adaptive sparse channel estimation using mixed square/fourth error criterion
• A novel T-S fuzzy systems identification with block structured sparse representation
• Embedded feature-selection support vector machine for driving pattern recognition
• Fractional-order sliding mode based extremum seeking control of a class of nonlinear systems
• Near-Optimal Signal Recovery From Random Projections: Universal Encoding Strategies?
• Bayesian Compressive Sensing
• Sparse Reconstruction by Separable Approximation
• Joint 2-D DOA Estimation via Sparse L-shaped Array
• Bayesian Compressive Sensing Using Laplace Priors
• Compressed sensing

This page was built for publication: Ensemble extreme learning machine and sparse representation classification