Pages that link to "Item:Q1029551"
From MaRDI portal
The following pages link to Random projections of smooth manifolds (Q1029551):
Displaying 46 items.
- Sparse control of alignment models in high dimension (Q258529) (← links)
- Dimension reduction and construction of feature space for image pattern recognition (Q294416) (← links)
- Multi-scale geometric methods for data sets. II: Geometric multi-resolution analysis (Q413654) (← links)
- Manifold estimation and singular deconvolution under Hausdorff loss (Q447839) (← links)
- Toward a unified theory of sparse dimensionality reduction in Euclidean space (Q496171) (← links)
- Dimensionality reduction with subgaussian matrices: a unified theory (Q515989) (← links)
- What happens to a manifold under a bi-Lipschitz map? (Q527443) (← links)
- Two-dimensional random projection (Q537260) (← links)
- Rigorous restricted isometry property of low-dimensional subspaces (Q778034) (← links)
- Random projections of smooth manifolds (Q1029551) (← links)
- Randomized nonlinear projections uncover high-dimensional structure (Q1373440) (← links)
- Ricci curvature and the manifold learning problem (Q1631004) (← links)
- Robustness properties of dimensionality reduction with Gaussian random matrices (Q1703873) (← links)
- On recovery guarantees for one-bit compressed sensing on manifolds (Q2022611) (← links)
- Dimensionality reduction for \(k\)-distance applied to persistent homology (Q2063202) (← links)
- Manifold reconstruction and denoising from scattered data in high dimension (Q2095140) (← links)
- Sensitivity of low-rank matrix recovery (Q2100520) (← links)
- Generalizing CoSaMP to signals from a union of low dimensional linear subspaces (Q2175016) (← links)
- Manifold approximation by moving least-squares projection (MMLS) (Q2216655) (← links)
- Spectral compressive sensing (Q2252132) (← links)
- New analysis of manifold embeddings and signal recovery from compressive measurements (Q2347898) (← links)
- Multiscale geometric methods for data sets. I: Multiscale SVD, noise and curvature. (Q2402490) (← links)
- Manifold learning algorithms of orthogonal discriminant based on random projection (Q2824732) (← links)
- Dimension-Adaptive Bounds on Compressive FLD Classification (Q2859225) (← links)
- Statistical mechanics of complex neural systems and high dimensional data (Q3301560) (← links)
- Sparse Model Uncertainties in Compressed Sensing with Application to Convolutions and Sporadic Communication (Q3460837) (← links)
- Representation and coding of signal geometry (Q4603712) (← links)
- The Bottleneck Degree of Algebraic Varieties (Q4959845) (← links)
- Approximation of points on low-dimensional manifolds via random linear projections (Q4982420) (← links)
- Inverse problems on low-dimensional manifolds (Q5061379) (← links)
- The Discovery of Dynamics via Linear Multistep Methods and Deep Learning: Error Estimation (Q5096451) (← links)
- Persistent homology for low-complexity models (Q5160778) (← links)
- Deep Network Approximation Characterized by Number of Neurons (Q5162359) (← links)
- CoverBLIP: accelerated and scalable iterative matched-filtering for magnetic resonance fingerprint reconstruction* (Q5210429) (← links)
- Testing the manifold hypothesis (Q5741444) (← links)
- Kernel Approximation on Algebraic Varieties (Q5886836) (← links)
- Lower bounds on the low-distortion embedding dimension of submanifolds of \(\mathbb{R}^n\) (Q6038821) (← links)
- Algebraic compressed sensing (Q6042618) (← links)
- A deep network construction that adapts to intrinsic dimensionality beyond the domain (Q6054952) (← links)
- Neural network approximation of continuous functions in high dimensions with applications to inverse problems (Q6056231) (← links)
- Reconstruction of manifold embeddings into Euclidean spaces via intrinsic distances (Q6145581) (← links)
- On fast Johnson-Lindenstrauss embeddings of compact submanifolds of \(\mathbb{R}^N\) with boundary (Q6151027) (← links)
- Modewise operators, the tensor restricted isometry property, and low-rank tensor recovery (Q6172173) (← links)
- Deep nonparametric regression on approximate manifolds: nonasymptotic error bounds with polynomial prefactors (Q6172194) (← links)
- Approximation analysis of CNNs from a feature extraction view (Q6496341) (← links)
- Towards probabilistic robust and sparsity-free compressive sampling in civil engineering: a review (Q6538371) (← links)
