Pages that link to "Item:Q3326256"
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The following pages link to Extensions of Lipschitz mappings into a Hilbert space (Q3326256):
Displaying 50 items.
- Swarm intelligence for self-organized clustering (Q86925) (← links)
- Population recovery and partial identification (Q255358) (← links)
- Similarity, kernels, and the fundamental constraints on cognition (Q256393) (← links)
- Sparse control of alignment models in high dimension (Q258529) (← links)
- An extension of the contraction mapping principle to Lipschitzian mappings (Q288097) (← links)
- Dimension reduction and construction of feature space for image pattern recognition (Q294416) (← links)
- Loda: lightweight on-line detector of anomalies (Q298359) (← links)
- A unified framework for linear dimensionality reduction in L1 (Q310869) (← links)
- Compressed sensing and dynamic mode decomposition (Q317178) (← links)
- Metric embedding, hyperbolic space, and social networks (Q340518) (← links)
- Randomized projective methods for the construction of binary sparse vector representations (Q380676) (← links)
- Dimension reduction for finite trees in \(\ell_1\) (Q393734) (← links)
- Fast density-weighted low-rank approximation spectral clustering (Q408661) (← links)
- Sparsified randomization algorithms for low rank approximations and applications to integral equations and inhomogeneous random field simulation (Q413911) (← links)
- Compression bounds for Lipschitz maps from the Heisenberg group to \(L_{1}\) (Q416849) (← links)
- Algorithmic paradigms for stability-based cluster validity and model selection statistical methods, with applications to microarray data analysis (Q418747) (← links)
- Dimensional reduction in vector space methods for natural language processing: products and projections (Q429923) (← links)
- Compressed labeling on distilled labelsets for multi-label learning (Q439035) (← links)
- A tree-based regressor that adapts to intrinsic dimension (Q439996) (← links)
- Indexability, concentration, and VC theory (Q450514) (← links)
- Analysis of agglomerative clustering (Q472480) (← links)
- Obituary: On the mathematical contributions of Joram Lindenstrauss (Q476486) (← links)
- Near-optimal encoding for sigma-delta quantization of finite frame expansions (Q485203) (← links)
- Toward a unified theory of sparse dimensionality reduction in Euclidean space (Q496171) (← links)
- Extensions of vector-valued functions with preservation of derivatives (Q504854) (← links)
- Real-valued embeddings and sketches for fast distance and similarity estimation (Q508585) (← links)
- Solving LP using random projections (Q510927) (← links)
- Dimensionality reduction with subgaussian matrices: a unified theory (Q515989) (← links)
- Human activity recognition in AAL environments using random projections (Q519612) (← links)
- Randomization of data acquisition and \(\ell_{1}\)-optimization (recognition with compression) (Q544714) (← links)
- Almost isometries and orthogonality (Q556236) (← links)
- Extensions of Lipschitz maps into Banach spaces (Q580640) (← links)
- Randomized anisotropic transform for nonlinear dimensionality reduction (Q623745) (← links)
- A variant of the Johnson-Lindenstrauss lemma for circulant matrices (Q629700) (← links)
- Dense fast random projections and Lean Walsh transforms (Q629831) (← links)
- Explicit constructions of RIP matrices and related problems (Q635478) (← links)
- Acceleration of randomized Kaczmarz method via the Johnson-Lindenstrauss lemma (Q639988) (← links)
- An efficient algorithm for maximal margin clustering (Q656840) (← links)
- Large dimensional sets not containing a given angle (Q657385) (← links)
- Deterministic parallel algorithms for bilinear objective functions (Q666681) (← links)
- Improved linear embeddings via Lagrange duality (Q669310) (← links)
- Statistical methods for tissue array images -- algorithmic scoring and co-training (Q714381) (← links)
- A comparison principle for functions of a uniformly random subspace (Q714948) (← links)
- Randomized interpolative decomposition of separated representations (Q728743) (← links)
- R3P-Loc: a compact multi-label predictor using ridge regression and random projection for protein subcellular localization (Q739656) (← links)
- Isometric embedding in \(\ell_ p\)-spaces (Q748824) (← links)
- Rigorous restricted isometry property of low-dimensional subspaces (Q778034) (← links)
- High-dimensional model recovery from random sketched data by exploring intrinsic sparsity (Q782446) (← links)
- Some geometric applications of the beta distribution (Q804064) (← links)
- Two observations regarding embedding subsets of Euclidean spaces in normed spaces (Q817572) (← links)
