The following pages link to 10.1162/153244304322972667 (Q3159781):
Displaying 49 items.
- Constructing \(L_1\)-graphs for subspace learning via recurrent neural networks (Q2337448) (← links)
- A class of Laplacian multiwavelets bases for high-dimensional data (Q2343249) (← links)
- Adaptive edge weighting for graph-based learning algorithms (Q2361579) (← links)
- A unified probabilistic framework for robust manifold learning and embedding (Q2398097) (← links)
- A generative model and a generalized trust region Newton method for noise reduction (Q2436691) (← links)
- Quasi-isometric parameterization for texture mapping (Q2476582) (← links)
- A local linear embedding module for evolutionary computation optimization (Q2476615) (← links)
- Robust locally linear embedding (Q2499117) (← links)
- Formulating LLE using alignment technique (Q2507094) (← links)
- Application of local linear embedding to nonlinear exploratory latent structure analysis (Q2517870) (← links)
- Incremental locally linear embedding (Q2565838) (← links)
- Analysis and classification of collective behavior using generative modeling and nonlinear manifold learning (Q2632164) (← links)
- Multiple view semi-supervised dimensionality reduction (Q2654236) (← links)
- Complete neighborhood preserving embedding for face recognition (Q2654276) (← links)
- Beyond linear subspace clustering: a comparative study of nonlinear manifold clustering algorithms (Q2668410) (← links)
- PCA-KL: a parametric dimensionality reduction approach for unsupervised metric learning (Q2673341) (← links)
- Side effects of learning from low-dimensional data embedded in a Euclidean space (Q2687305) (← links)
- Model-free data-driven identification algorithm enhanced by local manifold learning (Q2692900) (← links)
- Semisupervised multimodal dimensionality reduction (Q2857287) (← links)
- Trace optimization and eigenproblems in dimension reduction methods. (Q2889401) (← links)
- Nonlinear manifold learning for meshfree finite deformation thin-shell analysis (Q2952185) (← links)
- Learning Eigenfunctions Links Spectral Embedding and Kernel PCA (Q3160484) (← links)
- Nonlocal Estimation of Manifold Structure (Q3417436) (← links)
- Feature extraction through local learning (Q3497745) (← links)
- Stochastic low-dimensional modelling of a random laminar wake past a circular cylinder (Q3533762) (← links)
- Convergence rates for estimators of geodesic distances and Frèchet expectations (Q4611264) (← links)
- Nonlinear Dimension Reduction by Local Multidimensional Scaling (Q4632181) (← links)
- Geodesic distances in the intrinsic dimensionality estimation using packing numbers (Q4967984) (← links)
- Using data mining to enable integration of wind resources on the power grid (Q4969854) (← links)
- Testing for white noise against locally stationary alternatives (Q4969863) (← links)
- Construct Deep Neural Networks based on Direct Sampling Methods for Solving Electrical Impedance Tomography (Q4997381) (← links)
- On the Dual Geometry of Laplacian Eigenfunctions (Q5003881) (← links)
- Interpolation-based reduced-order modelling for steady transonic flows via manifold learning (Q5071728) (← links)
- (Q5134681) (← links)
- Кросс-энтропийная редукции матрицы данных с ограничением информационной емкости матриц-проекторов и их норм (Q5141812) (← links)
- Persistent Intersection Homology for the Analysis of Discrete Data (Q5147727) (← links)
- Multiclass Classification and Feature Selection Based on Least Squares Regression with Large Margin (Q5157256) (← links)
- Spectral Techniques to Explore Point Clouds in Euclidean Space, with Applications to Collective Coordinates in Structural Biology (Q5188766) (← links)
- (Q5214290) (← links)
- Solving Partial Differential Equations on Manifolds From Incomplete Interpoint Distance (Q5364201) (← links)
- A Convex Matrix Optimization for the Additive Constant Problem in Multidimensional Scaling with Application to Locally Linear Embedding (Q5506686) (← links)
- ATLAS: A Geometric Approach to Learning High-Dimensional Stochastic Systems Near Manifolds (Q5737746) (← links)
- Identification of switched autoregressive exogenous systems from large noisy datasets (Q6078881) (← links)
- Unsupervised manifold learning with polynomial mapping on symmetric positive definite matrices (Q6122194) (← links)
- Semi-supervised label distribution learning via projection graph embedding (Q6139516) (← links)
- Supervised learning of explicit maps with ability to correct distortions in the target output for manifold learning (Q6205040) (← links)
- Spanifold: spanning tree flattening onto lower dimension (Q6538481) (← links)
- Time-series forecasting using manifold learning, radial basis function interpolation, and geometric harmonics (Q6567586) (← links)
- Aggregate Inverse Mean Estimation for Sufficient Dimension Reduction (Q6631903) (← links)
