Stochastic Neighbor Embedding

No abstract is available for this paper.

• Publication year

  2002

• Venue

  Neural Information Processing Systems

• Publication date

  Unknown publication date

• 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.

• Learning Distributed Representations of Concepts Using Linear Relational Embedding

  2001cited by this paper
• Nonlinear dimensionality reduction by locally linear embedding.

  2000cited by this paper
• Äääöòòòò ×øöööùøøø Êêôöö××òøøøøóò× Óó Óò Blockin Blockinôø× Öóñ Êêððøøóòòð Øø

  2000influential reference
• A global geometric framework for nonlinear dimensionality reduction.

  2000cited by this paper
• GTM: The Generative Topographic Mapping

  1998cited by this paper
• Mapping a Manifold of Perceptual Observations

  1997cited by this paper
• A Database for Handwritten Text Recognition Research

  1994cited by this paper
• Self-organization and associative memory: 3rd edition

  1989cited by this paper
• Self-Organization and Associative Memory

  1988cited by this paper

• Improving on early exaggeration in t -SNE: Early hierarchization better preserves global structure

  2026cites this paper
• AirGuard: UAV and Bird Recognition Scheme for Integrated Sensing and Communications System

  2026cites this paper
• Diversity over scale: Whole-slide image variety enables H&E foundation model training with fewer patches

  2026cites this paper
• A Generalized Apprenticeship Learning Framework for Capturing Evolving Student Pedagogical Strategies

  2026cites this paper
• Feature-based morphological analysis of shape graph data

  2026cites this paper
• MMM: A Unified Weakly-Supervised Anomaly Detection Framework for Multi-Distributional Data

  2026cites this paper
• MAPLE: Self-supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis

  2026cites this paper
• Learning Wave Scattering Properties From Seismograms

  2026cites this paper
• Spectral Ghost in Representation Learning: from Component Analysis to Self-Supervised Learning

  2026cites this paper
• Uncovering Risks of Data-Free Feature Vector Inversion Attacks Against Vector Databases

  2026cites this paper
• Pre-ordering representations improve low-resource neural machine translation and application in the Māori language

  2026cites this paper
• The Representational Geometry of Number

  2026cites this paper
• A dimensional structure based knowledge distillation method for cross-modal learning.

  2026cites this paper
• An End-to-End Automated Pipeline for EEG Classification on TinyML Platforms: From Signal to On-Device Inference

  2026cites this paper
• Mixture of emotions: Global-to-local emotion representation extraction for emotion recognition in conversation

  2026cites this paper
• Computational prioritization of multi-target inhibitors: explainable QSAR and docking-based discovery of dual AChE/BACE1 chemotypes

  2026cites this paper
• BIMIM: Band-Independent Masked Image Modeling With Transformer for Multispectral Satellite Imagery

  2026cites this paper
• TouchAI: Exploring human–AI perceptual alignment in touch through language model representations

  2026cites this paper
• TB-MEN: Text-Centric Bidirectional Modality Enhancement Network for Multimodal Sentiment Analysis

  2026cites this paper
• Robust Averaging using Adaptive Annealing

  2026cites this paper
• Learning Reconstructive Embeddings in Reproducing Kernel Hilbert Spaces via the Representer Theorem

  2026cites this paper
• A computationally efficient hybrid model for enhancing quality clusters in visualization

  2026cites this paper
• S2EDL: Selective Semantic Efficient Distillation Learning for Large-Scale Remote Sensing Representation

  2026cites this paper
• Transformer-based feature extraction approach for hematopoietic cancer subtype classification

  2026cites this paper
• Neuro-Inspired Visual Pattern Recognition via Biological Reservoir Computing

  2026influential citation
• A novel nonlinear time series clustering method based on modified stochastic neighbor embedding reduction and improved information dissimilarity measure

  2026cites this paper
• Self-Aware Object Detection via Degradation Manifolds

  2026influential citation
• Understanding Biology with Machine Learning: Compression, Intelligibility, and Dependency

  2026cites this paper
• Self-Labeling Sounds Using Optimal Transport

  2026cites this paper
• FE-DHH: Fourier-enhanced dual high-order hypergraph for multimodal conversational emotion recognition

  2026cites this paper
• Contribution of Probabilistic Structured Grammatical Evolution to efficient exploration of the search space. A case study in glucose prediction

  2025cites this paper
• Non-uniform spiking touch sensor for classification of movement patterns using neural networks

  2025cites this paper
• Fusion or Confusion? A Look at Dataset Pooling for Infrared Object Detection

  2025cites this paper
• Dynamics of the accelerated t-SNE

  2025cites this paper
• The Comprehensive Effect of Depression, Anxiety, and Headache on Pain Intensity and Painkiller Use in Patients with Headache Analyzed by Unsupervised Clustering Using Machine Learning

  2025cites this paper
• Data vulnerability index for the "crowding problem" in nonlinear dimensionality reduction

  2025cites this paper
• Controllable illumination invariant GAN for diverse temporally-consistent surgical video synthesis

  2025cites this paper
• Discovering Genetic Variants in Hypertrophic Cardiomyopathy With Multiple Machine Learning Techniques

  2025cites this paper
• NeuralTSNE: A Python Package for the Dimensionality Reduction of Molecular Dynamics Data Using Neural Networks

  2025cites this paper
• Towards Scaling‐Invariant Projections for Data Visualization

  2025cites this paper
• METOR: A Unified Framework for Mutual Enhancement of Objects and Relationships in Open-vocabulary Video Visual Relationship Detection

  2025cites this paper
• Alpha-Synuclein Fibril Structures Cluster into Distinct Classes

  2025cites this paper
• Frequency-Enhanced Network for cross-view geolocalization

  2025cites this paper
• Evaluation of Different Generative Models to Support the Validation of Advanced Driver Assistance Systems

  2025cites this paper
• Lokomat-Assisted Robotic Rehabilitation in Spinal Cord Injury: A Biomechanical and Machine Learning Evaluation of Functional Symmetry and Predictive Factors

  2025cites this paper
• On the representation of sparse stochastic matrices with state embedding

  2025cites this paper
• Metric Similarity and Manifold Learning of Circular Dichroism Spectra of Proteins

  2025cites this paper
• Algorithms going wild – A review of machine learning techniques for terrestrial ecology

  2025cites this paper
• Replay to Remember (R2R): An Efficient Uncertainty-driven Unsupervised Continual Learning Framework Using Generative Replay

  2025cites this paper
• A machine learning tool to analyse spectroscopic changes in high-dimensional data.

  2025cites this paper
• UOREX: Towards Uncertainty-Aware Open Relation Extraction

  2025cites this paper
• NOMAD Projection

  2025cites this paper
• RoGA: Towards Generalizable Deepfake Detection through Robust Gradient Alignment

  2025cites this paper
• Contrastive Desensitization Learning for Cross Domain Face Forgery Detection

  2025cites this paper
• Skin Lesion Phenotyping via Nested Multi-modal Contrastive Learning

  2025cites this paper
• Statistical Learning for High-Dimensional Data: A Comprehensive Approach to Dimensionality Reduction in Machine Learning

  2025cites this paper
• Robust self-supervised machine learning for single cell embeddings and annotations

  2025cites this paper
• Stop Misusing t-SNE and UMAP for Visual Analytics

  2025cites this paper
• Simulated soundscapes and transfer learning boost the performance of acoustic classifiers under data scarcity

  2025cites this paper
• Selective fine-tuning for large language models via matrix nuclear norm

  2025cites this paper
• Siamese Neural Network-based stationary feature extraction for nonstationary process monitoring

  2025cites this paper
• Fast estimation method for X-ray pulsar frequency based on Waterfall Dimensionality reduction and Bee colony Optimization search

  2025cites this paper
• Labour monitoring and decision support: a machine-learning-based paradigm

  2025cites this paper
• Protein Electrostatic Properties are Fine-Tuned Through Evolution

  2025cites this paper
• Measurement of adulteration in liquids by optical interferograms analysis and deep learning

  2025cites this paper
• Toward Calibrated Ensembles of Neural Weather Model Forecasts

  2025cites this paper
• Investigation of Class Separability Within Object Detection Models in Histopathology

  2025cites this paper
• I-Con: A Unifying Framework for Representation Learning

  2025cites this paper
• Learning Generalizable Skills from Offline Multi-Task Data for Multi-Agent Cooperation

  2025cites this paper
• StainAI: quantitative mapping of stained microglia and insights into brain-wide neuroinflammation and therapeutic effects in cardiac arrest

  2025cites this paper
• Online dimensionality reduction through stacked generalization of spectral methods with deep networks

  2025cites this paper
• Free energy profiles for chemical reactions in solution from high-dimensional neural network potentials: The case of the Strecker synthesis.

  2025cites this paper
• Merging Hazy Sets with m-Schemes: A Geometric Approach to Data Visualization

  2025cites this paper
• Biological Multi-Layer and Single Cell Network-Based Multiomics Models - a Review

  2025cites this paper
• Node Embeddings via Neighbor Embeddings

  2025cites this paper
• Exploring the Pitfalls of Black Boxes in Media Forensics: A Case Study in Source Camera Identification

  2025cites this paper
• TIxAI: A Trustworthiness Index for eXplainable AI in skin lesions classification

  2025cites this paper
• You Only Need Clear Images: Self-Supervised Single Image Dehazing

  2025cites this paper
• Primer C-VAE: An interpretable deep learning primer design method to detect emerging virus variants

  2025cites this paper
• Graph Convolutional Networks and Particle Competition and Cooperation for Semi-Supervised Learning

  2025cites this paper
• OSAMamba: An Adaptive Bidirectional Selective State-Space Model for OSA Detection

  2025cites this paper
• Insights into user behavioral-based insider threat detection: systematic review

  2025cites this paper
• The Shape of Attraction in UMAP: Exploring the Embedding Forces in Dimensionality Reduction

  2025cites this paper
• EMTKD at the edge: An adaptive multi-teacher knowledge distillation for robust cardiac MRI classification

  2025cites this paper
• NullSwap: Proactive Identity Cloaking Against Deepfake Face Swapping

  2025cites this paper
• Driving Supply Chain Transformation with IoT and AI Integration: A Dual Approach Using Bibliometric Analysis and Topic Modeling

  2025cites this paper
• How does Watermarking Affect Visual Language Models in Document Understanding?

  2025cites this paper
• Development of a deep neural network model based on high throughput screening data for predicting synergistic estrogenic activity of binary mixtures for consumer products.

  2025cites this paper
• Statistical design of submerged artificial oyster reefs using Design of Experiments and clustering strategies

  2025cites this paper
• Morphing-based Compression for Data-centric ML Pipelines

  2025cites this paper
• Representation of high-dimensional cell morphology and morphodynamics in 2D latent space

  2025cites this paper
• Structure preserving t-SNE of matrix framed data

  2025cites this paper
• Multispectral airborne laser scanning for tree species classification: a benchmark of machine learning and deep learning algorithms

  2025cites this paper
• Introducing AutoML and the noisy-average probabilistic independence of causal influence (PICI) model for the prediction of ornamental stone quality

  2025cites this paper
• An Unsupervised Machine Learning Approach to Identify Spectral Energy Distribution Outliers: Application to the S-PLUS DR4 Data

  2025cites this paper
• Accelerating functional protein discovery with GPT models: Antimicrobials and enzymes

  2025cites this paper
• 2-D Imaging for 3-D Ground Frequency-Domain CSEM Based on Vector Finite Element

  2025cites this paper
• Effective latent hierarchical feature fusion in multiple instance learning for Whole Slide Image classification

  2025cites this paper
• Learning entanglement from tomography data: contradictory measurement importance for neural networks and random forests

  2025cites this paper
• Identification of exposome clusters based on societal, social, built and natural environment - results of the ABCD cohort study.

  2025cites this paper