Incorporating Privileged Information Through Metric Learning

No abstract is available for this paper.

• Publication year

  2013

• Venue

  IEEE Transactions on Neural Networks and Learning Systems

• Publication date

  2013-03-27

• Fields of study

  Mathematics, Computer Science, Medicine

• Identifiers
  DOI 10.1109/TNNLS.2013.2251470PMID 24808523
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar, PubMed

• No claims are published for this paper.

• No concepts are published for this paper.

• The handbook of brain theory and neural networks

  2013cited by this paper
• Constrained Empirical Risk Minimization Framework for Distance Metric Learning

  2012cited by this paper
• Privileged information for data clustering

  2012cited by this paper
• Max-Min Distance Analysis by Using Sequential SDP Relaxation for Dimension Reduction

  2011cited by this paper
• Learning a Distance Metric by Empirical Loss Minimization

  2011cited by this paper
• Advanced methods for prototype-based classification

  2010influential reference
• Galaxy Zoo 1: data release of morphological classifications for nearly 900 000 galaxies

  2010cited by this paper
• Morphological classification of galaxies and its relation to physical properties

  2010cited by this paper
• Data Mining and Machine Learning in Astronomy

  2009cited by this paper
• Geometric Mean for Subspace Selection

  2009cited by this paper
• Galaxy Zoo: reproducing galaxy morphologies via machine learning★

  2009cited by this paper
• Adaptive Relevance Matrices in Learning Vector Quantization

  2009influential reference
• Fast Similarity Search for Learned Metrics

  2009cited by this paper
• Regularized Distance Metric Learning: Theory and Algorithm

  2009cited by this paper
• 2009 Special Issue: A new learning paradigm: Learning using privileged information

  2009cited by this paper
• THE SEVENTH DATA RELEASE OF THE SLOAN DIGITAL SKY SURVEY

  2008cited by this paper
• Support vector machine classification for large data sets via minimum enclosing ball clustering

  2008cited by this paper
• Multi-Class SVM for Large Data Sets Considering Models of Classes Distribution

  2008cited by this paper
• Galaxy Zoo: morphologies derived from visual inspection of galaxies from the Sloan Digital Sky Survey

  2008cited by this paper
• Photometric Classification of Stars, Galaxies and Quasars in the Sloan Digital Sky Survey DR6 Using Support Vector Machines

  2008cited by this paper
• Learning Distance Metrics with Contextual Constraints for Image Retrieval

  2006cited by this paper
• Distance Metric Learning: A Comprehensive Survey

  2006cited by this paper
• Estimation of Dependences Based on Empirical Data: Empirical Inference Science (Information Science and Statistics)

  2006cited by this paper
• Information-theoretic metric learning

  2006influential reference
• Distance Metric Learning for Large Margin Nearest Neighbor Classification

  2005cited by this paper
• Learning a Mahalanobis Metric from Equivalence Constraints

  2005cited by this paper
• Neighbourhood Components Analysis

  2004cited by this paper
• Machine learning and image analysis for morphological galaxy classification

  2004cited by this paper
• Relevance LVQ versus SVM

  2004cited by this paper
• Learning Distance Functions using Equivalence Relations

  2003cited by this paper
• Generalized relevance learning vector quantization

  2002influential reference
• Distance Metric Learning with Application to Clustering with Side-Information

  2002cited by this paper
• The handbook of brain theory and neural networks /

  2001cited by this paper
• Recovering physical parameters from galaxy spectra using MOPED

  2001cited by this paper
• Support-Vector Networks

  1995cited by this paper
• The handbook of brain theory and neural networks

  1995cited by this paper
• Generalized Learning Vector Quantization

  1995cited by this paper
• Learning rate schedules for faster stochastic gradient search

  1992cited by this paper
• Discriminant Analysis and Statistical Pattern Recognition

  1992influential reference
• MATRIX NEARNESS PROBLEMS AND APPLICATIONS

  1989cited by this paper
• 2009 Special Issue

  year unknowncited by this paper

• Generalized Matrix Learning Vector Quantization Computational Method for Intelligent Decision Making: A Systematic Literature Review

  2025cites this paper
• Intelligent support in manufacturing process selection based on artificial neural networks, fuzzy logic, and genetic algorithms: Current state and future perspectives

  2024cites this paper
• Neglected Free Lunch – Learning Image Classifiers Using Annotation Byproducts

  2023cites this paper
• A Multi-View Joint Learning Framework for Embedding Clinical Codes and Text Using Graph Neural Networks

  2023cites this paper
• Human Pose Estimation in Extremely Low-Light Conditions

  2023cites this paper
• Toward Understanding Privileged Features Distillation in Learning-to-Rank

  2022cites this paper
• Incremental learning paradigm with privileged information for random vector functional-link networks: IRVFL+ 

  2022cites this paper
• Learning with privileged information for short-term photovoltaic power forecasting using stochastic configuration network

  2022cites this paper
• A novel stochastic configuration network with iterative learning using privileged information and its application

  2022cites this paper
• Intrusion Detection for Industrial Control Systems by Machine Learning using Privileged Information

  2021cites this paper
• MM-Net: Learning Adaptive Meta-metric for Few-Shot Biometric Recognition

  2021cites this paper
• A new method for positive and unlabeled learning with privileged information

  2021cites this paper
• Robust transfer learning based on Geometric Mean Metric Learning

  2021cites this paper
• Attribute Adaptive Margin Softmax Loss using Privileged Information

  2020cites this paper
• A Selective Survey on Versatile Knowledge Distillation Paradigm for Neural Network Models

  2020cites this paper
• Large Margin Nearest Neighbor Classification With Privileged Information for Biometric Applications

  2020influential citation
• Contextual Learning

  2020cites this paper
• Iterative Privileged Learning

  2020cites this paper
• Learning Using Partially Available Privileged Information and Label Uncertainty: Application in Detection of Acute Respiratory Distress Syndrome

  2020cites this paper
• An Adversarial Approach to Discriminative Modality Distillation for Remote Sensing Image Classification

  2019cites this paper
• Hard Pixels Mining: Learning Using Privileged Information for Semantic Segmentation

  2019cites this paper
• An active multi-class classification using privileged information and belief function

  2019cites this paper
• Classification task-driven efficient feature extraction from tensor data

  2019influential citation
• Utilizing Relevant RGB–D Data to Help Recognize RGB Images in the Target Domain

  2019cites this paper
• Hard Pixel Mining for Depth Privileged Semantic Segmentation

  2019cites this paper
• Multiview Privileged Support Vector Machines

  2018cites this paper
• Person Re-Identification With Metric Learning Using Privileged Information

  2018influential citation
• Incorporating Privileged Information to Unsupervised Anomaly Detection

  2018cites this paper
• Deep Learning Under Privileged Information Using Heteroscedastic Dropout

  2018cites this paper
• Learning robotic perception through prior knowledge

  2018cites this paper
• Discriminative Multi-View Privileged Information Learning for Image Re-Ranking

  2018cites this paper
• Privileged Multi-Target Support Vector Regression

  2018cites this paper
• Classifying low-resolution images by integrating privileged information in deep CNNs

  2018cites this paper
• Bayesian Neighborhood Component Analysis

  2018cites this paper
• Adversarial Distillation for Efficient Recommendation with External Knowledge

  2018cites this paper
• In Defense of Locality-Sensitive Hashing

  2018cites this paper
• Knowledge transfer in SVM and neural networks

  2017cites this paper
• A Unified Framework for Metric Transfer Learning

  2017cites this paper
• Simultaneous Semi-Coupled Dictionary Learning for Matching in Canonical Space

  2017cites this paper
• MIML-FCN+: Multi-Instance Multi-Label Learning via Fully Convolutional Networks with Privileged Information

  2017cites this paper
• A New Learning Paradigm for Random Vector Functional-Link Network: RVFL+

  2017cites this paper
• Visual Recognition by Learning From Web Data via Weakly Supervised Domain Generalization

  2017cites this paper
• Feature Selection in Learning Using Privileged Information

  2017cites this paper
• Human activity recognition using robust adaptive privileged probabilistic learning

  2017cites this paper
• Privileged Multi-label Learning

  2017cites this paper
• Deep feature representation based on privileged knowledge transfer

  2017cites this paper
• In the Era of Deep Convolutional Features: Are Attributes Still Useful Privileged Data?

  2017cites this paper
• Extending Detection with Forensic Information

  2016cites this paper
• Empirical Risk Minimization for Metric Learning Using Privileged Information

  2016cites this paper
• Semi-supervised image clustering with multi-modal information

  2016cites this paper
• Résolution variable et information privilégiée pour la reconnaissance d'images. (Varying resolution and privileged information for image recognition)

  2016cites this paper
• Simultaneous Semi-Coupled Dictionary Learning for Matching RGBD Data

  2016cites this paper
• Information Bottleneck Learning Using Privileged Information for Visual Recognition

  2016cites this paper
• Learning from the Mistakes of Others: Matching Errors in Cross-Dataset Learning

  2016cites this paper
• Simple and Efficient Learning using Privileged Information

  2016cites this paper
• Bayesian Neighbourhood Component Analysis

  2016cites this paper
• Classifying Cognitive Profiles Using Machine Learning with Privileged Information in Mild Cognitive Impairment

  2016cites this paper
• Fusion of privileged features for efficient classifier training

  2016cites this paper
• Relative Attribute SVM+ Learning for Age Estimation

  2016cites this paper
• Learning with Intelligent Teacher

  2016cites this paper
• Fast Algorithms for Linear and Kernel SVM+

  2016cites this paper
• From Dependence to Causation

  2016cites this paper
• Patterns for Learning with Side Information

  2015cites this paper
• Exploiting Privileged Information from Web Data for Action and Event Recognition

  2015cites this paper
• Distance Metric Learning Using Privileged Information for Face Verification and Person Re-Identification

  2015cites this paper
• Learning to Transfer PrivilegedRanking Attribute for Object Classification

  2015cites this paper
• A Distributed Approach Toward Discriminative Distance Metric Learning

  2015cites this paper
• Unifying distillation and privileged information

  2015cites this paper
• Learning with privileged information using Bayesian networks

  2015cites this paper
• Learning with multiple representations : algorithms and applications

  2014influential citation
• Learning to Transfer Privileged Information

  2014cites this paper
• Privileged Information for Hierarchical Document Clustering: A Metric Learning Approach

  2014cites this paper
• Exploiting Privileged Information from Web Data for Image Categorization

  2014cites this paper
• Mind the Nuisance: Gaussian Process Classification using Privileged Noise

  2014cites this paper
• Ordinal-based metric learning for learning using privileged information

  2013cites this paper