19 citations · 29 across the 4 of their papers we have counts for
4 papers
HSR: L1/2 Regularized Sparse Representation for Fast Face Recognition using Hierarchical Feature Selection
Bo Han, Bo He, Tingting Sun +2
In this paper, we propose a novel method for fast face recognition called L1/2 Regularized Sparse Representation using Hierarchical Feature Selection (HSR). By employing hierarchic…
RMSE-ELM: Recursive Model based Selective Ensemble of Extreme Learning Machines for Robustness Improvement
Bo Han, Bo He, Mengmeng Ma +3
Extreme learning machine (ELM) as an emerging branch of shallow networks has shown its excellent generalization and fast learning speed. However, for blended data, the robustness o…
LARSEN-ELM: Selective Ensemble of Extreme Learning Machines using LARS for Blended Data
Bo Han, Bo He, Rui Nian +4
Extreme learning machine (ELM) as a neural network algorithm has shown its good performance, such as fast speed, simple structure etc, but also, weak robustness is an unavoidable d…
Robust OS-ELM with a novel selective ensemble based on particle swarm optimization
Yang Liu, Bo He, Diya Dong +4
In this paper, a robust online sequential extreme learning machine (ROS-ELM) is proposed. It is based on the original OS-ELM with an adaptive selective ensemble framework. Two nove…