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principal component analysis

316 papers

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Also known as

FPCA K-PCA WPCA PCA

Co-occurring keywords

dimensionality reduction (720) outlier detection (318) representation learning (6174) streaming algorithm (131) online learning (1770) low-rank approximation (322) differential privacy (1010) feature extraction (1578) matrix factorization (529) variational inference (2069)

Papers

Supervised Dynamic Dimension Reduction with Deep Neural Network AAAI 2026
LiteGE: Lightweight Geodesic Embedding for Efficient Geodesics Computation and Non-Isometric Shape Correspondence AAAI 2026
Language Models Do Not Embed Numbers Continuously (Student Abstract) AAAI 2026
Investigating the Contextualised Word Embedding Dimensions Specified for Contextual and Temporal Semantic Changes COLING 2025
PromotionGo at SemEval-2025 Task 11: A Feature-Centric Framework for Cross-Lingual Multi-Emotion Detection in Short Texts ACL 2025
FreePCA: Integrating Consistency Information across Long-short Frames in Training-free Long Video Generation via Principal Component Analysis CVPR 2025
Mind Individual Information! Principal Graph Learning for Multimedia Recommendation AAAI 2025
LiteASR: Efficient Automatic Speech Recognition with Low-Rank Approximation EMNLP 2025
BSFA: Leveraging the Subspace Dichotomy to Accelerate Neural Network Training EMNLP 2025
Contrastive Functional Principal Component Analysis AAAI 2025
A Text is Worth Several Tokens: Text Embedding from LLMs Secretly Aligns Well with The Key Tokens ACL 2025
Reviving Poor Object Segmentations in OOD Medical Images using Variational-Deep-PCA Modeling on Segmentation Maps with Sampling-Free Learning WACV 2025
Rethinking Diverse Human Preference Learning through Principal Component Analysis ACL 2025
EigenGS Representation: From Eigenspace to Gaussian Image Space CVPR 2025
When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis? AAAI 2025
"Principal Components" Enable A New Language of Images ICCV 2025
Temporal Streaming Batch Principal Component Analysis for Time Series Classification (Student Abstract) AAAI 2025
Approximating Intersections and Differences Between Linear Statistical Shape Models Using Markov Chain Monte Carlo WACV 2024
Sharp analysis of power iteration for tensor PCA JMLR 2024
Learned Transformer Position Embeddings Have a Low-Dimensional Structure ACL 2024
Reconstruction Weighting Principal Component Analysis with Fusion Contrastive Learning IJCAI 2024
Data Thinning for Convolution-Closed Distributions JMLR 2024
Meta Learning in Bandits within shared affine Subspaces AISTATS 2024
Unlabeled Principal Component Analysis and Matrix Completion JMLR 2024
Unsupervised Blind Image Deblurring Based on Self-Enhancement CVPR 2024