Citation Impact
Citing Papers
Trends in extreme learning machines: A review
2014 Standout
A Riemannian Framework for Tensor Computing
2005 Standout
Research of Face Recognition with Fisher Linear Discriminant
2018
A Local Contrast Method for Small Infrared Target Detection
2013 Standout
Semi-Supervised Broad Learning System Based on Manifold Regularization and Broad Network
2020 Standout
Data mining tools | rapidminer: K-means method on clustering of rice crops by province as efforts to stabilize food crops in Indonesia
2018 Standout
Reweighted Infrared Patch-Tensor Model With Both Nonlocal and Local Priors for Single-Frame Small Target Detection
2017 Standout
Deep Learning for Health Informatics
2016 Standout
Maximum Neighborhood Margin Discriminant Projection for Classification
2014 Standout
Regularized robust Broad Learning System for uncertain data modeling
2018
Artificial intelligence, machine learning and deep learning in advanced robotics, a review
2023 Standout
Multiscale patch-based contrast measure for small infrared target detection
2016
A chronology of interpolation: from ancient astronomy to modern signal and image processing
2002
Small Infrared Target Detection Based on Weighted Local Difference Measure
2016
Infrared small-target detection using multiscale gray difference weighted image entropy
2016
A new color image encryption using combination of the 1D chaotic map
2017 Standout
Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art
2016 Standout
Discriminant sparse neighborhood preserving embedding for face recognition
2012
Learning Hierarchical Spectral–Spatial Features for Hyperspectral Image Classification
2015
Conceptual Understanding of Convolutional Neural Network- A Deep Learning Approach
2018 Standout
A Survey on semi-supervised feature selection methods
2016
Infrared target-based selective encryption by chaotic maps
2014
Adaptive detection method of infrared small target based on target-background separation via robust principal component analysis
2015
Battery Lifetime Prognostics
2020 Standout
A survey on semi-supervised learning
2019 Standout
Entropy-based window selection for detecting dim and small infrared targets
2016
Local Geometric Structure Feature for Dimensionality Reduction of Hyperspectral Imagery
2017
Modern Trends in Hyperspectral Image Analysis: A Review
2018 Standout
Intelligent Prognostics for Battery Health Monitoring Using the Mean Entropy and Relevance Vector Machine
2014
Infrared Small Target Detection via Non-Convex Rank Approximation Minimization Joint l2,1 Norm
2018 Standout
Object Detection Recognition and Robot Grasping Based on Machine Learning: A Survey
2020
Works of Luoqing Li being referenced
Error Analysis of Stochastic Gradient Descent Ranking
2012
Extreme learning machine for ranking: Generalization analysis and applications
2014
Similarity learning for object recognition based on derived kernel
2011
Dim target detection and tracking based on empirical mode decomposition
2008
TENSOR LOCALITY SENSITIVE DISCRIMINANT ANALYSIS AND ITS COMPLEXITY
2009
WAVELET-HOUGH TRANSFORM WITH APPLICATIONS IN EDGE AND TARGET DETECTIONS
2006
Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling
2012
Hierarchical Feature Extraction With Local Neural Response for Image Recognition
2012
Infrared moving target detection and tracking based on tensor locality preserving projection
2009
Hierarchical kernel-based rotation and scale invariant similarity
2013
The graph based semi-supervised algorithm with ℓ1-regularizer
2014
Robust Face Recognition via Minimum Error Entropy-Based Atomic Representation
2015
Hyperspectral Image Classification Using Functional Data Analysis
2014
On bivariate osculatory interpolation
1991
The Generalization Ability of SVM Classification Based on Markov Sampling
2014
Manifold-Based Sparse Representation for Hyperspectral Image Classification
2014