Weifeng Liu

According to our database1, Weifeng Liu authored at least 80 papers between 2006 and 2019.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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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


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