Rui Nian

According to our database1, Rui Nian authored at least 29 papers between 2005 and 2020.

Collaborative distances:



In proceedings 
PhD thesis 




A review On reinforcement learning: Introduction and applications in industrial process control.
Comput. Chem. Eng., 2020

Local receptive fields based extreme learning machine with hybrid filter kernels for image classification.
Multidimens. Syst. Signal Process., 2019

Gaussian derivative models and ensemble extreme learning machine for texture image classification.
Neurocomputing, 2018

A pruning ensemble model of extreme learning machine with L<sub>1/2</sub> regularizer.
Multidimens. Syst. Signal Process., 2017

Adding reliability to ELM forecasts by confidence intervals.
Neurocomputing, 2017

Manifold learning in local tangent space via extreme learning machine.
Neurocomputing, 2016

Extreme learning machine for missing data using multiple imputations.
Neurocomputing, 2016

ELMVIS+: Fast nonlinear visualization technique based on cosine distance and extreme learning machines.
Neurocomputing, 2016

Simultaneous Localization and Mapping with Iterative Sparse Extended Information Filter for Autonomous Vehicles.
Sensors, 2015

LARSEN-ELM: Selective ensemble of extreme learning machines using LARS for blended data.
Neurocomputing, 2015

Arbitrary Category Classification of Websites Based on Image Content.
IEEE Comput. Intell. Mag., 2015

Extreme Learning Machines for Multiclass Classification: Refining Predictions with Gaussian Mixture Models.
Proceedings of the Advances in Computational Intelligence, 2015

Ensemble delta test-extreme learning machine (DT-ELM) for regression.
Neurocomputing, 2014

Extreme learning machine towards dynamic model hypothesis in fish ethology research.
Neurocomputing, 2014

Robust OS-ELM with a novel selective ensemble based on particle swarm optimization.
CoRR, 2014

Fast Image Recognition Based on Independent Component Analysis and Extreme Learning Machine.
Cogn. Comput., 2014

Fast Face Recognition Via Sparse Coding and Extreme Learning Machine.
Cogn. Comput., 2014

A Two-Stage Methodology Using K-NN and False-Positive Minimizing ELM for Nominal Data Classification.
Cogn. Comput., 2014

An Early Underwater Artificial Vision Model in Ocean Investigations <i>via</i> Independent Component Analysis.
Sensors, 2013

3D object recognition based on a geometrical topology model and extreme learning machine.
Neural Comput. Appl., 2013

Extreme Learning Machines.
IEEE Intell. Syst., 2013

AUV SLAM and Experiments Using a Mechanical Scanning Forward-Looking Sonar.
Sensors, 2012

Fast variable selection for memetracker phrases time series prediction.
Proceedings of the 5th International Conference on PErvasive Technologies Related to Assistive Environments, 2012

An Alternative to Center-Based Clustering Algorithm Via Statistical Learning Analysis.
Proceedings of the Advanced Intelligent Computing Theories and Applications. With Aspects of Artificial Intelligence, 2008

An Unsupervised Gaussian Mixture Classification Mechanism Based on Statistical Learning Analysis.
Proceedings of the Fifth International Conference on Fuzzy Systems and Knowledge Discovery, 2008

Probabilistic 3D object recognition from 2D invariant view sequence based on similarity.
Neurocomputing, 2007

ANN Ensemble Online Learning Strategy in 3D Object Cognition and Recognition Based on Similarity.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

The Prediction of the Financial Time Series Based on Correlation Dimension.
Proceedings of the Advances in Natural Computation, First International Conference, 2005

ANN Hybrid Ensemble Learning Strategy in 3D Object Recognition and Pose Estimation Based on Similarity.
Proceedings of the Advances in Intelligent Computing, 2005