Dataset-Adaptive Dimensionality Reduction
Fuente:
arXiv
Saved in:
| Main Authors: | Jeon, Hyeon, Park, Jeongin, Lee, Soohyun, Kim, Dae Hyun, Shin, Sungbok, Seo, Jinwook |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Stop Misusing t-SNE and UMAP for Visual Analytics
by: Jeon, Hyeon, et al.
Published: (2025)
by: Jeon, Hyeon, et al.
Published: (2025)
Understanding Bias in Perceiving Dimensionality Reduction Projections
by: Doh, Seoyoung, et al.
Published: (2025)
by: Doh, Seoyoung, et al.
Published: (2025)
Distortion-Aware Brushing for Reliable Cluster Analysis in Multidimensional Projections
by: Jeon, Hyeon, et al.
Published: (2022)
by: Jeon, Hyeon, et al.
Published: (2022)
Dimensionality Reduction Considered Harmful (Some of the Time)
by: Jeon, Hyeon
Published: (2025)
by: Jeon, Hyeon
Published: (2025)
Navigating High-Dimensional Backstage: A Guide for Exploring Literature for the Reliable Use of Dimensionality Reduction
by: Jeon, Hyeon, et al.
Published: (2025)
by: Jeon, Hyeon, et al.
Published: (2025)
Assessing Graphical Perception of Image Embedding Models using Channel Effectiveness
by: Lee, Soohyun, et al.
Published: (2024)
by: Lee, Soohyun, et al.
Published: (2024)
Natural Language Dataset Generation Framework for Visualizations Powered by Large Language Models
by: Ko, Hyung-Kwon, et al.
Published: (2023)
by: Ko, Hyung-Kwon, et al.
Published: (2023)
Extracting Human Attention through Crowdsourced Patch Labeling
by: Chang, Minsuk, et al.
Published: (2024)
by: Chang, Minsuk, et al.
Published: (2024)
Efficiently Crowdsourcing Visual Importance with Punch-Hole Annotation
by: Chang, Minsuk, et al.
Published: (2024)
by: Chang, Minsuk, et al.
Published: (2024)
Offsetting Perceptual Bias in Visual Clustering: The Role of Point Size Adjustment in Variable Display Sizes
by: Yang, Taehyun, et al.
Published: (2024)
by: Yang, Taehyun, et al.
Published: (2024)
Combinational Nonuniform Timeslicing of Dynamic Networks
by: Jung, Seokweon, et al.
Published: (2024)
by: Jung, Seokweon, et al.
Published: (2024)
Reading.help: Supporting EFL Readers with Proactive and On-Demand Explanation of English Grammar and Semantics
by: Chung, Sunghyo, et al.
Published: (2025)
by: Chung, Sunghyo, et al.
Published: (2025)
Changing the Paradigm from Dynamic Queries to LLM-generated SQL Queries with Human Intervention
by: Assor, Ambre, et al.
Published: (2025)
by: Assor, Ambre, et al.
Published: (2025)
Leveraging Multimodal LLM for Inspirational User Interface Search
by: Park, Seokhyeon, et al.
Published: (2025)
by: Park, Seokhyeon, et al.
Published: (2025)
InFerActive: Interactive Tree-Based Exploration of LLM Sampling for Safety Evaluation
by: Hwangbo, Junhyeong, et al.
Published: (2025)
by: Hwangbo, Junhyeong, et al.
Published: (2025)
HookLens: Visual Analytics for Understanding React Hooks Structures
by: Hwang, Suyeon, et al.
Published: (2026)
by: Hwang, Suyeon, et al.
Published: (2026)
Data Therapist: Eliciting Domain Knowledge from Subject Matter Experts Using Large Language Models
by: Shin, Sungbok, et al.
Published: (2025)
by: Shin, Sungbok, et al.
Published: (2025)
Can VLMs Assess Similarity Between Graph Visualizations?
by: Jung, Seokweon, et al.
Published: (2025)
by: Jung, Seokweon, et al.
Published: (2025)
Dataset Refinement for Improving the Generalization Ability of the EEG Decoding Model
by: Kim, Sung-Jin, et al.
Published: (2024)
by: Kim, Sung-Jin, et al.
Published: (2024)
Unveiling High-dimensional Backstage: A Survey for Reliable Visual Analytics with Dimensionality Reduction
by: Jeon, Hyeon, et al.
Published: (2025)
by: Jeon, Hyeon, et al.
Published: (2025)
Physical Containers as Framing Conditions for Visualization in Augmented Reality
by: Bae, Jiyeon, et al.
Published: (2026)
by: Bae, Jiyeon, et al.
Published: (2026)
PhenoFlow: A Human-LLM Driven Visual Analytics System for Exploring Large and Complex Stroke Datasets
by: Kim, Jaeyoung, et al.
Published: (2024)
by: Kim, Jaeyoung, et al.
Published: (2024)
Drillboards: Adaptive Visualization Dashboards for Dynamic Personalization of Visualization Experiences
by: Shin, Sungbok, et al.
Published: (2024)
by: Shin, Sungbok, et al.
Published: (2024)
Decoding Fatigue Levels of Pilots Using EEG Signals with Hybrid Deep Neural Networks
by: Lee, Dae-Hyeok, et al.
Published: (2024)
by: Lee, Dae-Hyeok, et al.
Published: (2024)
GhostUI: Unveiling Hidden Interactions in Mobile UI
by: Kweon, Minkyu, et al.
Published: (2026)
by: Kweon, Minkyu, et al.
Published: (2026)
Bridging Gulfs in UI Generation through Semantic Guidance
by: Park, Seokhyeon, et al.
Published: (2026)
by: Park, Seokhyeon, et al.
Published: (2026)
Beyond the Mirror: Personal Analytics through Visual Juxtaposition with Other People's Data
by: Shin, Sungbok, et al.
Published: (2025)
by: Shin, Sungbok, et al.
Published: (2025)
CloChat: Understanding How People Customize, Interact, and Experience Personas in Large Language Models
by: Ha, Juhye, et al.
Published: (2024)
by: Ha, Juhye, et al.
Published: (2024)
Seeing Graphs Like Humans: Benchmarking Computational Measures and MLLMs for Similarity Assessment
by: Jung, Seokweon, et al.
Published: (2026)
by: Jung, Seokweon, et al.
Published: (2026)
A Spectral Framework for Multi-Scale Nonlinear Dimensionality Reduction
by: Huang, Zeyang, et al.
Published: (2026)
by: Huang, Zeyang, et al.
Published: (2026)
Fields, Bridges, and Foundations: How Researchers Browse Citation Network Visualizations
by: Choe, Kiroong, et al.
Published: (2024)
by: Choe, Kiroong, et al.
Published: (2024)
Conversation Progress Guide : UI System for Enhancing Self-Efficacy in Conversational AI
by: Jeong, Daeun, et al.
Published: (2025)
by: Jeong, Daeun, et al.
Published: (2025)
Visualizationary: Automating Design Feedback for Visualization Designers using LLMs
by: Shin, Sungbok, et al.
Published: (2024)
by: Shin, Sungbok, et al.
Published: (2024)
MAPLE: Self-Supervised Learning-Enhanced Nonlinear Dimensionality Reduction for Visual Analysis
by: Huang, Zeyang, et al.
Published: (2026)
by: Huang, Zeyang, et al.
Published: (2026)
Adaptive Crowdsourcing Via Self-Supervised Learning
by: Kagrecha, Anmol, et al.
Published: (2024)
by: Kagrecha, Anmol, et al.
Published: (2024)
A Critical Analysis of the Usage of Dimensionality Reduction in Four Domains
by: Cashman, Dylan, et al.
Published: (2025)
by: Cashman, Dylan, et al.
Published: (2025)
DimVis: Interpreting Visual Clusters in Dimensionality Reduction With Explainable Boosting Machine
by: Salmanian, Parisa, et al.
Published: (2024)
by: Salmanian, Parisa, et al.
Published: (2024)
Visualization for Human-Centered AI Tools
by: Hoque, Md Naimul, et al.
Published: (2024)
by: Hoque, Md Naimul, et al.
Published: (2024)
A Multi-Level Visual Analytics Approach to Artist-Era Alignment in Popular Music
by: Bae, Jiyeon, et al.
Published: (2026)
by: Bae, Jiyeon, et al.
Published: (2026)
Private Yet Social: How LLM Chatbots Support and Challenge Eating Disorder Recovery
by: Choi, Ryuhaerang, et al.
Published: (2024)
by: Choi, Ryuhaerang, et al.
Published: (2024)
Similar Items
-
Stop Misusing t-SNE and UMAP for Visual Analytics
by: Jeon, Hyeon, et al.
Published: (2025) -
Understanding Bias in Perceiving Dimensionality Reduction Projections
by: Doh, Seoyoung, et al.
Published: (2025) -
Distortion-Aware Brushing for Reliable Cluster Analysis in Multidimensional Projections
by: Jeon, Hyeon, et al.
Published: (2022) -
Dimensionality Reduction Considered Harmful (Some of the Time)
by: Jeon, Hyeon
Published: (2025) -
Navigating High-Dimensional Backstage: A Guide for Exploring Literature for the Reliable Use of Dimensionality Reduction
by: Jeon, Hyeon, et al.
Published: (2025)