Learning a Distance Metric from Relative Comparisons

No abstract is available for this paper.

• Publication year

  2003

• Venue

  Neural Information Processing Systems

• Publication date

  2003-12-09

• Fields of study

  Mathematics, Computer Science

• Identifiers

  No identifiers available.

• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Statistical Learning Theory

  2021cited by this paper
• Semi-Supervised Clustering with User Feedback

  2003cited by this paper
• Distance metric learning with kernels

  2003cited by this paper
• Optimizing search engines using clickthrough data

  2002cited by this paper
• Distance Metric Learning with Application to Clustering with Side-Information

  2002influential reference
• Constrained K-means Clustering with Background Knowledge

  2001cited by this paper
• XGvis: Interactive Data Visualization with Multidimensional Scaling

  1998cited by this paper
• Learning to Extract Symbolic Knowledge from the World Wide Web

  1998cited by this paper
• Support-Vector Networks

  1995cited by this paper

• Language assisted learnable hyperdimensional computing framework for retinal disease classification

  2026cites this paper
• Rethinking suspicious account identification from a perspective of machine learning ranking

  2026cites this paper
• An optimized multi-task contrastive learning framework for HIFU lesion detection and segmentation

  2025cites this paper
• M2SM: multi modal signature matching network utilizing spatio-temporal features extracted from online signature

  2025cites this paper
• A Novel Deep Metric Learning-Based State-Stable and Noise-Aware Biometric Authentication Framework Using Seismocardiogram Signals

  2025cites this paper
• Multimodal Entity Alignment Via Siamese Network and Structural Attention

  2025cites this paper
• Triplet Bridge for Zero-Shot Sketch-Based Image Retrieval

  2025cites this paper
• Understanding Self-supervised Contrastive Learning through Supervised Objectives

  2025cites this paper
• Improving Retrieval-Augmented Neural Machine Translation with Monolingual Data

  2025cites this paper
• Context-Enriched Contrastive Loss: Enhancing Presentation of Inherent Sample Connections in Contrastive Learning Framework

  2025cites this paper
• Metric Learning in an RKHS

  2025cites this paper
• Metric Learning With LMNN-KSVM for Radar Target Detection

  2025cites this paper
• Action Quality Assessment via Hierarchical Pose-Guided Multi-Stage Contrastive Regression

  2025cites this paper
• Visual Product Graph: Bridging Visual Products And Composite Images For End-to-End Style Recommendations

  2025cites this paper
• Global Ground Metric Learning with Applications to scRNA data

  2025cites this paper
• BdFusion: Bi-directional visual-LiDAR fusion for resilient place recognition

  2025cites this paper
• Multiscale convolutional transformer for robust detection of aquaculture defects

  2025cites this paper
• Dictionary Learning: The Complexity of Learning Sparse Superposed Features with Feedback

  2025cites this paper
• PAL: Sample-Efficient Personalized Reward Modeling for Pluralistic Alignment

  2025cites this paper
• MMARD: Improving the Min-Max Optimization Process in Adversarial Robustness Distillation

  2025cites this paper
• Auxiliary Reward Generation With Transition Distance Representation Learning

  2025cites this paper
• Separated Contrastive Learning for Matching in Cross-domain Recommendation with Curriculum Scheduling

  2025influential citation
• Semantics-Driven Contrastive Learning for Real-World Depth Super Resolution

  2025cites this paper
• Discrete Contrastive Learning for Diffusion Policies in Autonomous Driving

  2025cites this paper
• Evolutionary optimization for enhanced self-supervised learning: leveraging genetic algorithms for representation learning

  2025cites this paper
• A Dynamical System Framework for Exploring Consumer Trajectories in Recommender System

  2024cites this paper
• What comes after transformers? - A selective survey connecting ideas in deep learning

  2024cites this paper
• End-to-End Recommendation Pipeline, from User to Store

  2024cites this paper
• Differentiable Product Quantization for Memory Efficient Camera Relocalization

  2024cites this paper
• Type2Branch: Keystroke Biometrics Based on a Dual-Branch Architecture With Attention Mechanisms and Set2set Loss

  2024cites this paper
• XMC-Agent : Dynamic Navigation over Scalable Hierarchical Index for Incremental Extreme Multi-label Classification

  2024cites this paper
• Spectral Graph Learning With Core Eigenvectors Prior via Iterative GLASSO and Projection

  2024cites this paper
• Towards Graph Contrastive Learning: A Survey and Beyond

  2024cites this paper
• Categorical Knowledge Fused Recognition: Fusing Hierarchical Knowledge with Image Classification Through Aligning and Deep Metric Learning

  2024cites this paper
• Hierarchical Multivariate Representation Learning for Face Sketch Recognition

  2024cites this paper
• SEC: Context-Aware Metric Learning for Efficient Emotion Recognition in Conversation

  2024cites this paper
• Unravelling sleep patterns: Supervised contrastive learning with self-attention for sleep stage classification

  2024cites this paper
• Automatic Evaluation of a Sentence Memory Test for Preschool Children

  2024cites this paper
• High-Dimension Human Value Representation in Large Language Models

  2024cites this paper
• Enhancing Respiratory Sound Detection Through Integrated Learning and Dynamic Convolutional Recurrent Neural Networks

  2024cites this paper
• HyperFLINT: Hypernetwork‐based Flow Estimation and Temporal Interpolation for Scientific Ensemble Visualization

  2024cites this paper
• Supervised Domain Adaptation for Surface Defect Detection Leveraging Partial Data Availability

  2024cites this paper
• Outliers resistant image classification by anomaly detection

  2024cites this paper
• MetaVers: Meta-Learned Versatile Representations for Personalized Federated Learning

  2024cites this paper
• Brain Mapping with Dense Features: Grounding Cortical Semantic Selectivity in Natural Images With Vision Transformers

  2024cites this paper
• Damage Classification of Oil & Gas Equipment Components Using Siamese Networks

  2024cites this paper
• Mosic: Multimodal Semantic Integrated Communication for Health Monitoring in Iot Scenarios

  2024cites this paper
• Using Expert Gaze for Self-Supervised and Supervised Contrastive Learning of Glaucoma from OCT Data

  2024cites this paper
• Video Inpainting Localization With Contrastive Learning

  2024cites this paper
• PAL: Pluralistic Alignment Framework for Learning from Heterogeneous Preferences

  2024cites this paper
• Embedding-Based Search in JetBrains IDEs

  2024cites this paper
• Context-Aware Siamese Networks for Efficient Emotion Recognition in Conversation

  2024cites this paper
• OSRNet: Online Signature Recognition Network utilising Spatio-Temporal Features Extracted from Signature Video

  2024cites this paper
• A Vision Language Correlation Framework for Screening Disabled Retina

  2024cites this paper
• Metric Learning from Limited Pairwise Preference Comparisons

  2024cites this paper
• Stress tensor similarity index based on Euclidean distance for numerical back analysis of in situ stress fields

  2023cites this paper
• Visualization and efficient generation of constrained high-dimensional theoretical parameter spaces

  2023cites this paper
• Estimation of Vegetation Indices With Random Kernel Forests

  2023cites this paper
• A preliminary study on view independent panoptic scene change detection

  2023cites this paper
• CoRe-Sleep: A Multimodal Fusion Framework for Time Series Robust to Imperfect Modalities

  2023cites this paper
• Deep Clustering with Incomplete Noisy Pairwise Annotations: A Geometric Regularization Approach

  2023cites this paper
• An embedding for EEG signals learned using a triplet loss

  2023cites this paper
• Representer Theorems for Metric and Preference Learning: Geometric Insights and Algorithms

  2023cites this paper
• Estimating Riemannian Metric with Noise-Contaminated Intrinsic Distance

  2023cites this paper
• Face Recognition for Industrial Shop Floor Access Control

  2023cites this paper
• A Survey of Deep Learning: From Activations to Transformers

  2023cites this paper
• Dimension-Accuracy Tradeoffs in Contrastive Embeddings for Triplets, Terminals & Top-k Nearest Neighbors

  2023cites this paper
• Describing movement learning using metric learning

  2023cites this paper
• 3D Shape Perception Integrates Intuitive Physics and Analysis-by-Synthesis

  2023cites this paper
• Camera-LiDAR Fusion with Latent Contact for Place Recognition in Challenging Cross-Scenes

  2023cites this paper
• Online Adaptive Mahalanobis Distance Estimation

  2023cites this paper
• AsthmaSCELNet: A Lightweight Supervised Contrastive Embedding Learning Framework for Asthma Classification Using Lung Sounds

  2023cites this paper
• Perception of 3D shape integrates intuitive physics and analysis-by-synthesis

  2023cites this paper
• A multi-metric small sphere large margin method for classification

  2023cites this paper
• Mathematical Foundations of Data Cohesion

  2023cites this paper
• Aircraft Environmental Impact Segmentation via Metric Learning

  2023cites this paper
• Regularisation for Efficient Softmax Parameter Generation in Low-Resource Text Classifiers

  2023cites this paper
• Contrastive Representation Disentanglement for Clustering

  2023cites this paper
• ABC-Norm Regularization for Fine-Grained and Long-Tailed Image Classification

  2023cites this paper
• Weighted Hamming Metric and KNN Classification of Nominal-Continuous Data

  2023cites this paper
• A machine learning approach to design a DPSIR model: A real case implementation of evidence-based policy creation using AI

  2023cites this paper
• Paired contrastive feature for highly reliable offline signature verification

  2023cites this paper
• Improved Aircraft Environmental Impact Segmentation via Metric Learning

  2023cites this paper
• Active Learning based Structural Inference

  2023influential citation
• Multiscale Feature Learning Using Co-Tuplet Loss for Offline Handwritten Signature Verification

  2023influential citation
• PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion Models

  2023cites this paper
• CLC: Cluster Assignment via Contrastive Representation Learning

  2023cites this paper
• VoiceCloak

  2023cites this paper
• Few-shot EEG sleep staging based on transductive prototype optimization network

  2023cites this paper
• Urban Region Representation Learning with Attentive Fusion

  2023cites this paper
• A Universal Unbiased Method for Classification from Aggregate Observations

  2023cites this paper
• On the Stability and Generalization of Triplet Learning

  2023cites this paper
• DisasterNet: Causal Bayesian Networks with Normalizing Flows for Cascading Hazards Estimation from Satellite Imagery

  2023cites this paper
• Sample complexity of rank regression using pairwise comparisons

  2022cites this paper
• A Contrastive Cross-Channel Data Augmentation Framework for Aspect-Based Sentiment Analysis

  2022cites this paper
• Quantum Similarity Testing with Convolutional Neural Networks.

  2022cites this paper
• Time-based Self-supervised Learning for Wireless Capsule Endoscopy

  2022cites this paper
• Learning Program Representations for Food Images and Cooking Recipes

  2022cites this paper
• Text Transformations in Contrastive Self-Supervised Learning: A Review

  2022cites this paper
• The Group Loss++: A Deeper Look Into Group Loss for Deep Metric Learning

  2022cites this paper