Weakly Supervised Regression Using Manifold Regularization and Low-Rank Matrix Representation

• Enhancing Stability of the Weakly Supervised Regression Algorithm Using Manifold Regularization and Fuzzy Clustering

  2025 Pattern Recognition and Image Analysis article Computer Science Face and Expression Recognition

  1

  citations
• Multi-target Weakly Supervised Regression Using Manifold Regularization and Wasserstein Metric

  2023 Communications in computer and information science conference-paper Computer Science Machine Learning and Algorithms

  0

  citations
• Multi-output regression with structurally incomplete target labels: A case study of modelling global vegetation cover

  2022 Ecological Informatics article Environmental Science Remote Sensing in Agriculture Open access

  5

  citations
• Classification with Incomplete Probabilistic Labeling Based on Manifold Regularization and Fuzzy Clustering Ensemble

  2022 Pattern Recognition and Image Analysis article Computer Science Machine Learning and Data Classification

  0

  citations
• On a Weakly Supervised Classification Problem

  2022 Lecture notes in computer science conference-paper Computer Science Machine Learning and Algorithms

  0

  citations

5 results

• Learning with Local and Global Consistency

  2003 MPG.PuRe (Max Planck Society) conference-paper Computer Science Machine Learning and Algorithms Open access

  3,701

  citations
• Manifold Regularization: A Geometric Framework for Learning from Labeled and Unlabeled Examples

  2006 article Computer Science Machine Learning and Algorithms

  3,239

  citations
• A survey on semi-supervised learning

  2019 Machine Learning article Computer Science Domain Adaptation and Few-Shot Learning Open access

  2,684

  citations
• Ensemble Methods

  2012 Chapman & Hall/CRC eBooks book Computer Science Machine Learning and Algorithms

  2,529

  citations
• Ensemble Methods: Foundations and Algorithms

  2012 article Computer Science Machine Learning and Data Classification

  2,051

  citations
• A brief introduction to weakly supervised learning

  2017 National Science Review article Computer Science Machine Learning and Data Classification Open access

  1,932

  citations
• A Sparse Matrix Arithmetic Based on $\Cal H$ -Matrices. Part I: Introduction to ${\Cal H}$ -Matrices

  1999 Computing article Computer Science Matrix Theory and Algorithms

  1,202

  citations
• Learning From Crowds

  2010 Journal of Machine Learning Research article Computer Science Machine Learning and Data Classification

  992

  citations
• On the Nyström Method for Approximating a Gram Matrix for Improved Kernel-Based Learning

  2005 article Computer Science Stochastic Gradient Optimization Techniques

  731

  citations
• Spatial Variation

  1986 Lecture notes in statistics book Economics, Econometrics and Finance Spatial and Panel Data Analysis

  660

  citations
• Construction and Arithmetics of H -Matrices

  2003 Computing article Computer Science Matrix Theory and Algorithms

  416

  citations
• Hierarchical Matrices: Algorithms and Analysis

  2015 Springer series in computational mathematics book Computer Science Matrix Theory and Algorithms

  412

  citations
• Cluster ensembles: A survey of approaches with recent extensions and applications

  2018 Computer Science Review article Computer Science Advanced Clustering Algorithms Research

  178

  citations
• The Monge-Kantorovich problem: achievements, connections, and perspectives

  2012 Russian Mathematical Surveys article Mathematics Geometric Analysis and Curvature Flows

  174

  citations
• Identifying and Handling Mislabelled Instances

  2003 Journal of Intelligent Information Systems article Computer Science Machine Learning and Data Classification

  138

  citations
• Predicting CO and NOxemissions from gas turbines: novel data and abenchmark PEMS

  2019 TURKISH JOURNAL OF ELECTRICAL ENGINEERING & COMPUTER SCIENCES article Environmental Science Air Quality Monitoring and Forecasting Open access

  119

  citations
• A Wasserstein-Type Distance in the Space of Gaussian Mixture Models

  2020 SIAM Journal on Imaging Sciences article Mathematics Geometric Analysis and Curvature Flows Open access

  106

  citations
• Application of hierarchical matrices for computing the Karhunen–Loève expansion

  2008 Computing article Computer Science Matrix Theory and Algorithms Open access

  80

  citations
• Risk Minimization in the Presence of Label Noise

  2016 Proceedings of the AAAI Conference on Artificial Intelligence conference-paper Computer Science Machine Learning and Data Classification Open access

  57

  citations
• Likelihood approximation with hierarchical matrices for large spatial datasets

  2019 Computational Statistics & Data Analysis article Economics, Econometrics and Finance Spatial and Panel Data Analysis Open access

  56

  citations