Pages that link to "Item:Q2788388"

The following pages link to Linear dimensionality reduction: survey, insights, and generalizations (Q2788388):

Displaying 47 items.

• Sparse Principal Component Analysis via Variable Projection (Q150980) (← links)
• Matrix-variate and higher-order probabilistic projections (Q408620) (← links)
• Real-valued embeddings and sketches for fast distance and similarity estimation (Q508585) (← links)
• Conceptual and empirical comparison of dimensionality reduction algorithms (PCA, KPCA, LDA, MDS, SVD, LLE, ISOMAP, LE, ICA, t-SNE) (Q826335) (← links)
• A brief review of linear sufficient dimension reduction through optimization (Q826971) (← links)
• Subsampling bias and the best-discrepancy systematic cross validation (Q829119) (← links)
• Supervised dimensionality reduction via sequential semidefinite programming (Q947992) (← links)
• SICA: subjectively interesting component analysis (Q1741396) (← links)
• On orthogonal projections for dimension reduction and applications in augmented target loss functions for learning problems (Q1988352) (← links)
• Dimension reduction for objects composed of vector sets (Q2012154) (← links)
• Fast algorithms for robust principal component analysis with an upper bound on the rank (Q2028928) (← links)
• Optimization problems for machine learning: a survey (Q2029894) (← links)
• Geometric component analysis and its applications to data analysis (Q2036489) (← links)
• Dimensionality reduction based on kCCC and manifold learning (Q2051142) (← links)
• A novel update rule of HALS algorithm for nonnegative matrix factorization and Zangwill's global convergence (Q2089877) (← links)
• On generalizing trace minimization principles (Q2093530) (← links)
• Maximizing sum of coupled traces with applications (Q2095802) (← links)
• Efficient fair principal component analysis (Q2102413) (← links)
• A self-consistent-field iteration for MAXBET with an application to multi-view feature extraction (Q2124749) (← links)
• Linear dimension reduction approximately preserving a function of the $1$-norm (Q2219215) (← links)
• Low-rank nonnegative matrix factorization on Stiefel manifold (Q2660701) (← links)
• A survey of unsupervised learning methods for high-dimensional uncertainty quantification in black-box-type problems (Q2672767) (← links)
• A limited-memory Riemannian symmetric rank-one trust-region method with a restart strategy (Q2674265) (← links)
• Trace optimization and eigenproblems in dimension reduction methods. (Q2889401) (← links)
• (Q3096203) (← links)
• A New Approach to Dimensionality Reduction: Theory and Algorithms (Q4507276) (← links)
• (Q4583459) (← links)
• Real-valued multivariate dimension reduction: a survey (Q4690287) (← links)
• A Supervised Learning Approach Involving Active Subspaces for an Efficient Genetic Algorithm in High-Dimensional Optimization Problems (Q5005000) (← links)
• A Structure-Exploiting Nested Lanczos-Type Iteration for the Multiview Canonical Correlation Analysis (Q5005203) (← links)
• Robust and Scalable Methods for the Dynamic Mode Decomposition (Q5024513) (← links)
• Trace Ratio Optimization for High-Dimensional Multi-Class Discrimination (Q5066430) (← links)
• Manifold Optimization-Assisted Gaussian Variational Approximation (Q5066480) (← links)
• (Q5091024) (← links)
• Orthogonal canonical correlation analysis and applications (Q5135255) (← links)
• (Q5256146) (← links)
• A machine learning approach to portfolio pricing and risk management for high‐dimensional problems (Q6054432) (← links)
• SLISEMAP: supervised dimensionality reduction through local explanations (Q6097137) (← links)
• On mathematical optimization for clustering categories in contingency tables (Q6106171) (← links)
• Heterogeneous large datasets integration using Bayesian factor regression (Q6121610) (← links)
• Trace ratio optimization with an application to multi-view learning (Q6165582) (← links)
• Random Projection and Recovery for High Dimensional Optimization with Arbitrary Outliers (Q6173264) (← links)
• Interpreting machine-learning models in transformed feature space with an application to remote-sensing classification (Q6176236) (← links)
• Locally unitarily invariantizable NEPv and convergence analysis of SCF (Q6562840) (← links)
• Data-driven reduced-order modeling of spatiotemporal chaos with neural ordinary differential equations (Q6565124) (← links)
• Rigid transformations for stabilized lower dimensional space to support subsurface uncertainty quantification and interpretation (Q6578296) (← links)
• Interpretable linear dimensionality reduction based on bias-variance analysis (Q6609081) (← links)