← Keywords

dimensionality reduction

720 papers

Explore in graph

Also known as

SDR PCA DR

Co-occurring keywords

manifold learning (402) principal component analysis (316) feature extraction (1578) random projection (145) unsupervised learning (3255) representation learning (6174) kernel methods (1096) metric learning (1189) feature selection (649) matrix factorization (529)

Papers

Randomized Iterative Algorithms for Fisher Discriminant Analysis UAI 2019
MFPCA: Multiscale Functional Principal Component Analysis AAAI 2019
Unsupervised Feature Selection by Pareto Optimization AAAI 2019
Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering CVPR 2019
Single Training Dimension Selection for Word Embedding with PCA EMNLP 2019
Parallax: Visualizing and Understanding the Semantics of Embedding Spaces via Algebraic Formulae ACL 2019
Scalable Interpretable Multi-Response Regression via SEED JMLR 2019
Semi-Supervised Feature Selection with Adaptive Discriminant Analysis AAAI 2019
On Geometric Alignment in Low Doubling Dimension AAAI 2019
Solving Interpretable Kernel Dimensionality Reduction NIPS 2019
An Efficient Approach to Informative Feature Extraction from Multimodal Data AAAI 2019
k-Means Clustering of Lines for Big Data NIPS 2019
Unsupervised Discovery of Temporal Structure in Noisy Data with Dynamical Components Analysis NIPS 2019
Order-Preserving Wasserstein Discriminant Analysis ICCV 2019
A framework for streamlined statistical prediction using topic models NAACL 2019
Single Training Dimension Selection for Word Embedding with PCA IJCNLP 2019
Heuristic Search Algorithm for Dimensionality Reduction Optimally Combining Feature Selection and Feature Extraction AAAI 2019
Analytical Methods for Interpretable Ultradense Word Embeddings EMNLP 2019
Large-Scale Sparse Kernel Canonical Correlation Analysis ICML 2019
Effective Dimensionality Reduction for Word Embeddings ACL 2019
No Pressure! Addressing the Problem of Local Minima in Manifold Learning Algorithms NIPS 2019
HyperTools: a Python Toolbox for Gaining Geometric Insights into High-Dimensional Data JMLR 2018
Out-of-sample extension of graph adjacency spectral embedding ICML 2018
TeamCEN at SemEval-2018 Task 1: Global Vectors Representation in Emotion Detection SEMEVAL 2018
Learning a latent manifold of odor representations from neural responses in piriform cortex NIPS 2018