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dimensionality reduction

720 papers

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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

Learning nonlinear level sets for dimensionality reduction in function approximation NIPS 2019
Online Factorization and Partition of Complex Networks by Random Walk UAI 2019
Sketched Iterative Algorithms for Structured Generalized Linear Models IJCAI 2019
Non-smooth Optimization over Stiefel Manifolds with Applications to Dimensionality Reduction and Graph Clustering IJCAI 2019
Solving Interpretable Kernel Dimensionality Reduction NIPS 2019
Precision-Recall Balanced Topic Modelling NIPS 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
NDDR-CNN: Layerwise Feature Fusing in Multi-Task CNNs by Neural Discriminative Dimensionality Reduction CVPR 2019
Dimension-Free Error Bounds from Random Projections AAAI 2019
Video-Based Sentiment Analysis with hvnLBP-TOP Feature and bi-LSTM AAAI 2019
Estimation of Non-Normalized Mixture Models AISTATS 2019
Dimensionality reduction: theoretical perspective on practical measures NIPS 2019
No Pressure! Addressing the Problem of Local Minima in Manifold Learning Algorithms NIPS 2019
Multi-Frequency Vector Diffusion Maps ICML 2019
Understanding Sparse JL for Feature Hashing NIPS 2019
Multi-Criteria Dimensionality Reduction with Applications to Fairness NIPS 2019
Learning Multiple Maps from Conditional Ordinal Triplets IJCAI 2019
RS3CIS: Robust Single-Step Spectral Clustering with Intrinsic Subspace AAAI 2019
Random Projections with Asymmetric Quantization NIPS 2019
Visualizing the PHATE of Neural Networks NIPS 2019
Bézier Simplex Fitting: Describing Pareto Fronts of´ Simplicial Problems with Small Samples in Multi-Objective Optimization AAAI 2019
On the Intrinsic Dimensionality of Image Representations CVPR 2019
Learning low-dimensional state embeddings and metastable clusters from time series data NIPS 2019
Randomized Iterative Algorithms for Fisher Discriminant Analysis UAI 2019