Yanshan Xiao

Appl. Intell., October, 2023

Multi-view multi-label learning with high-order label correlation.

[BibT_eX]

[DOI]

Inf. Sci., May, 2023

Semi-supervised Multi-task Learning with Auxiliary data.

[BibT_eX]

[DOI]

Inf. Sci., May, 2023

A least squares twin support vector machine method with uncertain data.

[BibT_eX]

[DOI]

Appl. Intell., May, 2023

A Ranking Based Multi-View Method for Positive and Unlabeled Graph Classification.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., March, 2023

A Variational Inference Method for Few-Shot Learning.

[BibT_eX]

[DOI]

Jian Xu

IEEE Trans. Circuits Syst. Video Technol., 2023

Self-paced multi-view positive and unlabeled graph learning with auxiliary information.

[BibT_eX]

[DOI]

Inf. Sci., 2023

Privileged information learning with weak labels.

[BibT_eX]

[DOI]

Appl. Soft Comput., 2023

2022

A Convex Model for Support Vector Distance Metric Learning.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

New Multi-View Classification Method with Uncertain Data.

[BibT_eX]

[DOI]

Haowen Zhong

ACM Trans. Knowl. Discov. Data, 2022

A Latent Variable Augmentation Method for Image Categorization with Insufficient Training Samples.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2022

A Transfer Learning-Based Multi-Instance Learning Method With Weak Labels.

[BibT_eX]

[DOI]

Fei Liang

IEEE Trans. Cybern., 2022

An Efficient Image Categorization Method With Insufficient Training Samples.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

A convex multi-class model via distance metric learning based class-to-instance confidence.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

AdaBoost-based transfer learning method for positive and unlabelled learning problem.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2022

Multi-task manifold learning for partial label learning.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Multi-view partial label machine.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Multi-view support vector ordinal regression with data uncertainty.

[BibT_eX]

[DOI]

Inf. Sci., 2022

AdaBoost-based transfer learning with privileged information.

[BibT_eX]

[DOI]

Inf. Sci., 2022

A new self-paced learning method for privilege-based positive and unlabeled learning.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Adaptive robust Adaboost-based twin support vector machine with universum data.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Dictionary-based transfer learning with Universum data.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Pinball loss support vector data description for outlier detection.

[BibT_eX]

[DOI]

Appl. Intell., 2022

A new method for positive and unlabeled learning with privileged information.

[BibT_eX]

[DOI]

Qian Liu

Appl. Intell., 2022

Learn structured analysis discriminative dictionary for multi-label classification.

[BibT_eX]

[DOI]

Appl. Intell., 2022

A Separating Embedding Space Based Relation Network with RGB Modality Only for Cloth-Changing Person Re-Identification.

[BibT_eX]

[DOI]

Jian Xu

Proceedings of the 6th International Conference on Computer Science and Application Engineering, 2022

2021

Multi-task analysis discriminative dictionary learning for one-class learning.

[BibT_eX]

[DOI]

Haoxin Xie

Knowl. Based Syst., 2021

Transfer learning-based one-class dictionary learning for recommendation data stream.

[BibT_eX]

[DOI]

Haoxin Xie

Inf. Sci., 2021

A nearest-neighbor search model for distance metric learning.

[BibT_eX]

[DOI]

Inf. Sci., 2021

An efficient dictionary-based multi-view learning method.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Twin support vector machines with privileged information.

[BibT_eX]

[DOI]

Inf. Sci., 2021

A new multi-task learning method with universum data.

[BibT_eX]

[DOI]

Jing Wen

Appl. Intell., 2021

A new transductive learning method with universum data.

[BibT_eX]

[DOI]

Junyao Feng

Appl. Intell., 2021

A new dictionary-based positive and unlabeled learning method.

[BibT_eX]

[DOI]

Zhijing Liu

Appl. Intell., 2021

A new twin SVM method with dictionary learning.

[BibT_eX]

[DOI]

Appl. Intell., 2021

A Dictionary-Based Method for Classification with Universum Data.

[BibT_eX]

[DOI]

Zhiyong Che

Proceedings of the CSAE 2021: The 5th International Conference on Computer Science and Application Engineering, Sanya, China, October 19, 2021

2020

A multi-task transfer learning method with dictionary learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

A similarity-based two-view multiple instance learning method for classification.

[BibT_eX]

[DOI]

Zijian Yin

Knowl. Based Syst., 2020

An efficient active learning method for multi-task learning.

[BibT_eX]

[DOI]

Zheng Chang

Knowl. Based Syst., 2020

An efficient multi-label learning method with label projection.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2020

A new self-paced method for multiple instance boosting learning.

[BibT_eX]

[DOI]

Xiaozhou Yang

Inf. Sci., 2020

A new transfer learning-based method for label proportions problem.

[BibT_eX]

[DOI]

HuaiPei Wang

Inf. Sci., 2020

Semi-Supervised Multi-view clustering based on orthonormality-constrained nonnegative matrix factorization.

[BibT_eX]

[DOI]

Inf. Sci., 2020

COB method with online learning for object tracking.

[BibT_eX]

[DOI]

Luyue Lin

Neurocomputing, 2020

A Latent Variables Augmentation Method Based on Adversarial Training for Image Categorization with Insufficient Training Samples.

[BibT_eX]

[DOI]

Proceedings of the 16th International Conference on Control, 2020

2019

Semi-supervised multi-view clustering based on constrained nonnegative matrix factorization.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2019

Transfer Learning-Based Label Proportions Method with Data of Uncertainty.

[BibT_eX]

[DOI]

HuaiPei Wang

CoRR, 2019

Simultaneously Learning Adaptive Neighbors and Clustering Label via Semi-Supervised NMF.

[BibT_eX]

[DOI]

Proceedings of the 3rd International Conference on Computer Science and Application Engineering, 2019

2018

Multiple-Instance Ordinal Regression.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

A Selective Multiple Instance Transfer Learning Method for Text Categorization Problems.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2018

A multi-task-based classification framework for multi-instance distance metric learning.

[BibT_eX]

[DOI]

Neurocomputing, 2018

2017

A Sphere-Description-Based Approach for Multiple-Instance Learning.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2017

A multiple-instance stream learning framework for adaptive document categorization.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2017

SVM-based multi-state-mapping approach for multi-class classification.

[BibT_eX]

[DOI]

Longbing Cao

Knowl. Based Syst., 2017

Cross-angle behavior recognition via supervised dictionary learning.

[BibT_eX]

[DOI]

Guanghui Lu

Proceedings of the 13th International Conference on Natural Computation, 2017

An object tracking method based on CNN and optical flow.

[BibT_eX]

[DOI]

Luyue Lin

Proceedings of the 13th International Conference on Natural Computation, 2017

Cluster and dynamic-TrAdaBoost-based transfer learning for text classification.

[BibT_eX]

[DOI]

Zibin Li

Proceedings of the 13th International Conference on Natural Computation, 2017

Multi-View Action Recognition Method Based on Regularized Extreme Learning Machine.

[BibT_eX]

[DOI]

Wei He

Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

Real-Time Face Recognition Based on Sparse Illumination Learning.

[BibT_eX]

[DOI]

WuYang Ding

Proceedings of the 2017 IEEE International Conference on Computational Science and Engineering, 2017

2016

A Maximum Margin Approach for Semisupervised Ordinal Regression Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2016

2015

A robust one-class transfer learning method with uncertain data.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2015

2014

An Efficient Approach for Outlier Detection with Imperfect Data Labels.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2014

Uncertain One-Class Learning and Concept Summarization Learning on Uncertain Data Streams.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2014

A Similarity-Based Classification Framework for Multiple-Instance Learning.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2014

An efficient orientation distance-based discriminative feature extraction method for multi-classification.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2014

A K-Farthest-Neighbor-based approach for support vector data description.

[BibT_eX]

[DOI]

Appl. Intell., 2014

2013

SVDD-based outlier detection on uncertain data.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2013

MODS: Multiple One-class Data Streams Learning from Homogeneous Data.

[BibT_eX]

[DOI]

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Robust Textual Data Streams Mining Based on Continuous Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the 13th SIAM International Conference on Data Mining, 2013

One-Class Transfer Learning with Uncertain Data.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

2011

One-Class-Based Uncertain Data Stream Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Similarity-Based Approach for Positive and Unlabeled Learning.

[BibT_eX]

[DOI]

Proceedings of the IJCAI 2011, 2011

2010

Multi-agent system for customer relationship management with SVMs tool.

[BibT_eX]

[DOI]

Int. J. Intell. Inf. Database Syst., 2010

SMILE: A Similarity-Based Approach for Multiple Instance Learning.

[BibT_eX]

[DOI]

Proceedings of the ICDM 2010, 2010

Exploiting Local Data Uncertainty to Boost Global Outlier Detection.

[BibT_eX]

[DOI]

Proceedings of the ICDM 2010, 2010

Vote-Based LELC for Positive and Unlabeled Textual Data Streams.

[BibT_eX]

[DOI]

Proceedings of the ICDMW 2010, 2010

K-farthest-neighbors-based concept boundary determination for support vector data description.

[BibT_eX]

[DOI]

Longbing Cao

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

Orientation distance-based discriminative feature extraction for multi-class classification.

[BibT_eX]

[DOI]

Proceedings of the 19th ACM Conference on Information and Knowledge Management, 2010

2009

Multi-sphere Support Vector Data Description for Outliers Detection on Multi-distribution Data.

[BibT_eX]

[DOI]

Proceedings of the ICDM Workshops 2009, 2009

2008

A Chinese question classification using one-vs-one method as a learning tool.

[BibT_eX]

[DOI]