Weifeng Liu
According to our database1,
Weifeng Liu
authored at least 80 papers
between 2006 and 2019.
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Bibliography
2019
Hypergraph $p$ -Laplacian Regularization for Remotely Sensed Image Recognition.
IEEE Trans. Geoscience and Remote Sensing, 2019
$p$ -Laplacian Regularization for Scene Recognition.
IEEE Trans. Cybernetics, 2019
Effective human action recognition by combining manifold regularization and pairwise constraints.
Multimedia Tools Appl., 2019
Hessian-Regularized Multitask Dictionary Learning for Remote Sensing Image Recognition.
IEEE Geosci. Remote Sensing Lett., 2019
HpLapGCN: Hypergraph p-Laplacian graph convolutional networks.
Neurocomputing, 2019
Advances in data representation and learning for pattern analysis.
Neurocomputing, 2019
Multiview Hessian Regularization for Image Annotation.
CoRR, 2019
2018
Reinforcement online learning for emotion prediction by using physiological signals.
Pattern Recognition Letters, 2018
Biological modeling of human visual system for object recognition using GLoP filters and sparse coding on multi-manifolds.
Mach. Vis. Appl., 2018
Multiview dimension reduction via Hessian multiset canonical correlations.
Information Fusion, 2018
Ensemble p-Laplacian Regularization for Remote Sensing Image Recognition.
CoRR, 2018
Hypergraph p-Laplacian Regularization for Remote Sensing Image Recognition.
CoRR, 2018
Color Transfer Pulse-Coupled Neural Networks for Underwater Robotic Visual Systems.
IEEE Access, 2018
The comparison of different graph convolutional neural networks for image recognition.
Proceedings of the 10th International Conference on Internet Multimedia Computing and Service, 2018
2017
Multiview Cauchy Estimator Feature Embedding for Depth and Inertial Sensor-Based Human Action Recognition.
IEEE Trans. Systems, Man, and Cybernetics: Systems, 2017
LMAE: A large margin Auto-Encoders for classification.
Signal Processing, 2017
Road Detection by Using a Generalized Hough Transform.
Remote Sensing, 2017
Cauchy Estimator Discriminant Learning for RGB-D Sensor-based Scene Classification.
Multimedia Tools Appl., 2017
Multiview Canonical Correlation Analysis Networks for Remote Sensing Image Recognition.
IEEE Geosci. Remote Sensing Lett., 2017
Dictionary Learning-Based Hough Transform for Road Detection in Multispectral Image.
IEEE Geosci. Remote Sensing Lett., 2017
Support vector machine active learning by Hessian regularization.
J. Visual Communication and Image Representation, 2017
Canonical correlation analysis networks for two-view image recognition.
Inf. Sci., 2017
Diversified shared latent structure based localization for blind persons.
Proceedings of the International Conference on Security, Pattern Analysis, and Cybernetics, 2017
Multiple Scale Canonical Correlation Analysis Networks for Two-View Object Recognition.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
2016
p-Laplacian Regularized Sparse Coding for Human Activity Recognition.
IEEE Trans. Industrial Electronics, 2016
Big data meets multimedia analytics.
Signal Processing, 2016
Large-scale paralleled sparse principal component analysis.
Multimedia Tools Appl., 2016
HSAE: A Hessian regularized sparse auto-encoders.
Neurocomputing, 2016
Manifold regularized kernel logistic regression for web image annotation.
Neurocomputing, 2016
Hessian regularization by patch alignment framework.
Neurocomputing, 2016
Class specific dictionary learning based kernel collaborative representation for fine-grained image classification.
Proceedings of the 2016 IEEE International Conference on Systems, Man, and Cybernetics, 2016
Semi-supervised Hessian Eigenmap for Human Action Recognition.
Proceedings of the Intelligent Visual Surveillance - 4th Chinese Conference, 2016
Local Structure Preserving Using Manifold Regularization and Pairwise Constraints for Action Recognition.
Proceedings of the IEEE International Conference on Data Mining Workshops, 2016
2015
Theoretical Methods in Machine Learning.
Proceedings of the Springer Handbook of Computational Intelligence, 2015
Multiview Hessian regularized logistic regression for action recognition.
Signal Processing, 2015
A general framework for co-training and its applications.
Neurocomputing, 2015
Hessian Regularized Sparse Coding for Human Action Recognition.
Proceedings of the MultiMedia Modeling - 21st International Conference, 2015
Sparse canonical correlation analysis for recognition.
Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, 2015
Sparse principle motion component for one-shot gesture recognition.
Proceedings of the 7th International Conference on Internet Multimedia Computing and Service, 2015
2014
Multiview Hessian discriminative sparse coding for image annotation.
Computer Vision and Image Understanding, 2014
Multiview Hessian regularized logistic regression for action recognition.
CoRR, 2014
Multi-view Face Analysis Based on Gabor Features.
CoRR, 2014
Laplacian regularized active learning for image segmentation.
Proceedings of the Proceedings IEEE International Conference on Security, 2014
Laplacian-Hessian regularization for semi-supervised classification.
Proceedings of the Proceedings IEEE International Conference on Security, 2014
Co-regularization for classification.
Proceedings of the Proceedings IEEE International Conference on Security, 2014
Class specific subspace learning for collaborative representation.
Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014
2013
Editorial A Successful Change From TNN to TNNLS and a Very Successful Year.
IEEE Trans. Neural Netw. Learning Syst., 2013
Hessian Regularized Support Vector Machines for Mobile Image Annotation on the Cloud.
IEEE Trans. Multimedia, 2013
Multiview Hessian Regularization for Image Annotation.
IEEE Trans. Image Processing, 2013
Dictionary learning based image enhancement for rarity detection
CoRR, 2013
Large-Scale Paralleled Sparse Principal Component Analysis.
CoRR, 2013
Multiview Hessian Discriminative Sparse Coding for Image Annotation.
CoRR, 2013
Manifold regularized kernel logistic regression for web image annotation.
CoRR, 2013
Self-Explanatory Convex Sparse Representation for Image Classification.
Proceedings of the IEEE International Conference on Systems, 2013
Discriminant Multi-component Face Analysis.
Proceedings of the IEEE International Conference on Systems, 2013
Object-of-interest extraction based on sparse coding.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013
Facial expression recognition based on Hessian regularized support vector machine.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013
Detection of static salient objects based on visual attention and edge features.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013
Bio-inspired invariant visual feature representation based on K-SVD and SURF algorithms.
Proceedings of the International Conference on Internet Multimedia Computing and Service, 2013
2012
The eighth annual MLSP competition: Overview.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012
Facial expression recognition based on discriminative dictionary learning.
Proceedings of the 21st International Conference on Pattern Recognition, 2012
Cellular Differentiation Algorithm for High Dimensional Numerical Function Optimization.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Subject-Independent Facial Expression Recognition with Biologically Inspired Features.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012
Laplacian support vector machines for medical diagnosis.
Proceedings of the International Conference on Computerized Healthcare, 2012
Facial expression recognition based on Gabor features and sparse representation.
Proceedings of the 12th International Conference on Control Automation Robotics & Vision, 2012
2010
Fixed-budget kernel recursive least-squares.
Proceedings of the IEEE International Conference on Acoustics, 2010
2009
Extended kernel recursive least squares algorithm.
IEEE Trans. Signal Processing, 2009
An Information Theoretic Approach of Designing Sparse Kernel Adaptive Filters.
IEEE Trans. Neural Networks, 2009
A low complexity robust detector in impulsive noise.
Signal Processing, 2009
Kernel least mean square algorithm with constrained growth.
Signal Processing, 2009
The correntropy MACE filter.
Pattern Recognition, 2009
A Target Detection Algorithm Based on Histogram Feature and Particle Swarm.
Proceedings of the Fifth International Conference on Natural Computation, 2009
2008
The Kernel Least-Mean-Square Algorithm.
IEEE Trans. Signal Processing, 2008
Kernel Affine Projection Algorithms.
EURASIP J. Adv. Sig. Proc., 2008
The wellposedness analysis of the kernel adaline.
Proceedings of the International Joint Conference on Neural Networks, 2008
2007
Correntropy: Properties and Applications in Non-Gaussian Signal Processing.
IEEE Trans. Signal Processing, 2007
A unifying criterion for instantaneous blind source separation based on correntropy.
Signal Processing, 2007
Kernel LMS.
Proceedings of the IEEE International Conference on Acoustics, 2007
A New Information Theoretic Measure of PDF Symmetry.
Proceedings of the IEEE International Conference on Acoustics, 2007
2006
Correntropy: A Localized Similarity Measure.
Proceedings of the International Joint Conference on Neural Networks, 2006