Rui Nian

发表

Underwater image segmentation with co-saliency detection and local statistical active contour model

A. Lendasse, B. He, Yuemei Zhu, 2017, OCEANS 2017 - Aberdeen.

Rao-blackwellised particle filter SLAM with consistent mapping for AUVs

B. He, T. Yan, Rui Nian, 2013, 2013 OCEANS - San Diego.

An Effective Motion Control Based on 2-DOF PID and ELM for AUV

Bo He, Yue Shen, Tianhong Yan, 2018, OCEANS 2018 MTS/IEEE Charleston.

Underwater image super-resolution reconstruction with local self-similarity analysis and wavelet decomposition

Bing Zheng, A. Lendasse, B. He, 2017, OCEANS 2017 - Aberdeen.

ELMVIS: a Nonlinear Visualization Technique using Random Permutations and Extreme Learning Machine

Amaury Lendasse, Yoan Miche, Rui Nian, 2013 .

ELMVIS: A nonlinear visualization technique using random permutations and ELMs

Amaury Lendasse, Yoan Miche, Rui Nian, 2013 .

3D reconstruction model of underwater environment in stereo vision system

B. He, Rui Nian, Yanli Wu, 2013, 2013 OCEANS - San Diego.

Evaluating Confidence Intervals for ELM Predictions

Y. Miché, A. Lendasse, Rui Nian, 2016 .

Auto-detection of Anisakid larvae in Cod Fillets by UV fluorescent imaging with OS-ELM

Amaury Lendasse, Rui Nian, Wenqiang Cai, 2015, TENCON 2015 - 2015 IEEE Region 10 Conference.

Detection of anisakid larvae in cod fillets by UV fluorescent imaging based on principal component analysis and gray value analysis.

Hong Lin, Rui Nian, Limin Cao, 2013, Journal of food protection.

Towards Developing Visual Statistical Cues for Biodiversity, Abundance, Biomass around Mariana Trench in an Embeddable Smart Module

A. Lendasse, Rui Nian, Hui He, 2019, OCEANS 2019 - Marseille.

Extreme Learning Machines

Victor C. M. Leung, Hongming Zhou, G. Huang, 2013, IEEE Intelligent Systems.

A pruning ensemble model of extreme learning machine with L 1 / 2 regularizer

T. Yan, Rui Nian, Yue Shen, 2016 .

Fast Image Recognition Based on Independent Component Analysis and Extreme Learning Machine

A. Lendasse, B. He, Rui Nian, 2014, Cognitive Computation.

A Two-Stage Methodology Using K-NN and False-Positive Minimizing ELM for Nominal Data Classification

Y. Miché, A. Lendasse, Rui Nian, 2014, Cognitive Computation.

Fast Face Recognition Via Sparse Coding and Extreme Learning Machine

Amaury Lendasse, Bo He, Rui Nian, 2013, Cognitive Computation.

An Early Underwater Artificial Vision Model in Ocean Investigations via Independent Component Analysis

Fang Liu, Bo He, Rui Nian, 2013, Sensors.

A pruning ensemble model of extreme learning machine with $$L_{1/2}$$L1/2 regularizer

Bo He, Yue Shen, Tianhong Yan, 2017, Multidimens. Syst. Signal Process..

Extreme learning machine for missing data using multiple imputations

Amaury Lendasse, Yoan Miche, Kaj-Mikael Björk, 2016, Neurocomputing.

Particle Swarm Optimization Based Selective Ensemble of Online Sequential Extreme Learning Machine

Yang Liu, Bo He, Yue Shen, 2015 .

ROS-ELM: A Robust Online Sequential Extreme Learning Machine for Big Data Analytics

Amaury Lendasse, Yang Liu, Bo He, 2015 .

Robust OS-ELM with a novel selective ensemble based on particle swarm optimization

A. Lendasse, B. He, T. Yan, 2014, ArXiv.

Underwater object detection with efficient shadow-removal for side scan sonar images

Amaury Lendasse, Bo He, Rui Nian, 2016, OCEANS 2016 - Shanghai.

ROV-based Underwater Vision System for Intelligent Fish Ethology Research

Rui Nian, Jia Yu, Yangfan Wang, 2013 .

Segmentation of Sidescan Sonar Imagery Using Markov Random Fields and Extreme Learning Machine

Amaury Lendasse, Yan Song, Bo He, 2019, IEEE Journal of Oceanic Engineering.

Consistent fish tracking via multiple underwater cameras

Na Sun, Bo He, Tianhong Yan, 2014, OCEANS 2014 - TAIPEI.

Underwater image sparse representation based on bag-of-words and compressed sensing

Amaury Lendasse, Bo He, Yue Shen, 2015, OCEANS 2015 - MTS/IEEE Washington.

Arbitrary Category Classification of Websites Based on Image Content

Juha Karhunen, Amaury Lendasse, Kaj-Mikael Björk, 2015, IEEE Computational Intelligence Magazine.

An Alternative to Center-Based Clustering Algorithm Via Statistical Learning Analysis

Michel Verleysen, Rui Nian, Guangrong Ji, 2008, ICIC.

A novel adaptive restoration for underwater image quality degradation

Amaury Lendasse, Bo He, Rui Nian, 2015, OCEANS 2015 - MTS/IEEE Washington.

Extreme Learning Machines for Multiclass Classification: Refining Predictions with Gaussian Mixture Models

Amaury Lendasse, Kaj-Mikael Björk, Bo He, 2015, IWANN.

Simultaneous Localization and Mapping with Iterative Sparse Extended Information Filter for Autonomous Vehicles

Yang Liu, Bo He, Yue Shen, 2015, Sensors.

Toward Exploring Topographic Effects on Evolution and Propagation of Ocean Mesoscale Eddies Through Life Cycle Across Izu-Ogasawara Ridge in Northwestern Pacific Ocean

H. He, Rui Nian, Zhengguang Zhang, 2022, Frontiers in Marine Science.

Gaussian derivative models and ensemble extreme learning machine for texture image classification

Yan Song, Amaury Lendasse, Bo He, 2018, Neurocomputing.

Complementary Use of Glider Data, Altimeter for Exploring Vertical Structure Of Mesoscale Eddies in the New England Coast

A. Lendasse, Q. Yuan, B. He, 2019, OCEANS 2019 - Marseille.

Exploring Seafloor Stretching in Mariana Trench Arc via the Squeeze and Excitation network with High-resolution Multibeam Bathymetric Survey

A. Lendasse, B. He, Rui Nian, 2019, OCEANS 2019 - Marseille.

Towards Characterizing and Developing Formation and Migration Cues in Seafloor Sand Waves on Topology, Morphology, Evolution from High-Resolution Mapping via Side-Scan Sonar in Autonomous Underwater Vehicles

Bo He, Rui Nian, Lina Zang, 2021, Sensors.

Quantifying Time-Frequency Co-movement Impact of COVID-19 on U.S. and China Stock Market Toward Investor Sentiment Index

A. Lendasse, Chen Feng, Rui Nian, 2021, Frontiers in Public Health.

Extreme Learning Machines [Trends & Controversies]

Victor C. M. Leung, Qiang Liu, Jianping Yin, 2013, IEEE Intelligent Systems.

Local receptive fields based extreme learning machine with hybrid filter kernels for image classification

Yan Song, Amaury Lendasse, Bo He, 2018, Multidimens. Syst. Signal Process..

Local receptive fields based extreme learning machine with hybrid filter kernels for image classification

Yan Song, A. Lendasse, T. Yan, 2018, Multidimensional Systems and Signal Processing.

Fast Image Recognition Based on Independent Component Analysis and Extreme Learning Machine

Jing Wang, Amaury Lendasse, Bo Han, 2014, Cognitive Computation.

Manifold learning in local tangent space via extreme learning machine

Amaury Lendasse, Kaj-Mikael Björk, Yue Shen, 2016, Neurocomputing.

A novel path planning method based on extreme learning machine for autonomous underwater vehicle

Bo He, Tianhong Yan, Rui Nian, 2015, OCEANS 2015 - MTS/IEEE Washington.

Autonomous navigation based on unscented-FastSLAM using particle swarm optimization for autonomous underwater vehicles

Xiao Feng, Bo He, Yue Shen, 2015 .

The Identification and Prediction of Mesoscale Eddy Variation via Memory in Memory With Scheduled Sampling for Sea Level Anomaly

Rui Nian, Zhengguang Zhang, Y. Qian, 2021, Frontiers in Marine Science.

3D object recognition based on a geometrical topology model and extreme learning machine

Amaury Lendasse, Bo He, Rui Nian, 2013, Neural Computing and Applications.

ELMVIS+: Fast nonlinear visualization technique based on cosine distance and extreme learning machines

Amaury Lendasse, Yoan Miche, Kaj-Mikael Björk, 2016, Neurocomputing.

The Identification and Prediction in Abundance Variation of Atlantic Cod via Long Short-Term Memory With Periodicity, Time–Frequency Co-movement, and Lead-Lag Effect Across Sea Surface Temperature, Sea Surface Salinity, Catches, and Prey Biomass From 1919 to 2016

A. Lendasse, Q. Yuan, Rui Nian, 2021, Frontiers in Marine Science.

Robust OS-ELM with a novel selective ensemble based on particle swarm optimization

A. Lendasse, B. He, T. Yan, 2014, arXiv.org.

Ensemble delta test-extreme learning machine (DT-ELM) for regression

Amaury Lendasse, Eric Séverin, Bo He, 2014, Neurocomputing.

An efficient digital image compression scheme based on ICA for underwater color images

Bo He, Yue Shen, Tianhong Yan, 2014, OCEANS 2014 - TAIPEI.

A depth estimation model from a single underwater image with non-uniform illumination correction

Amaury Lendasse, Bo He, Rui Nian, 2017, OCEANS 2017 - Aberdeen.

SVM Classification Method Based Marginal Points of Representative Sample Sets

Guangrong Ji, Chen Feng, Rui Nian, 2006 .

Target following for an autonomous underwater vehicle using regularized ELM-based reinforcement learning

Bo He, Tianhong Yan, Rui Nian, 2015, OCEANS 2015 - MTS/IEEE Washington.

Probabilistic 3D object recognition from 2D invariant view sequence based on similarity

Chen Feng, Rui Nian, Guangrong Ji, 2007, Neurocomputing.

Cellular Recognition for Species of Phytoplankton Via Statistical Spatial Analysis

Shiming Yang, Chen Feng, Rui Nian, 2006 .

3D object recognition from 2D invariant view sequence under translation, rotation and scale by means of ANN ensemble

Chen Feng, Rui Nian, Guangrong Ji, 2005, Proceedings of 2005 IEEE International Workshop on VLSI Design and Video Technology, 2005..

Extreme learning machine towards dynamic model hypothesis in fish ethology research

Amaury Lendasse, Bo He, Rui Nian, 2014, Neurocomputing.

A multi-focus image fusion method based on image information features and the artificial neural networks

Guangrong Ji, Chen Feng, Lijian Zhou, 2006 .

Extreme Learning Machines [Trends & Controversies]

Hongming Zhou, Chi-Man Vong, Liyanaarachchi Lekamalage Chamara Kasun, 2013 .

LARSEN-ELM: Selective ensemble of extreme learning machines using LARS for blended data

Amaury Lendasse, Bo Han, Bo He, 2014, Neurocomputing.

The Prediction of the Financial Time Series Based on Correlation Dimension

Chen Feng, Rui Nian, Guangrong Ji, 2005, ICNC.