Pages that link to "Item:Q4816852"

The following pages link to Laplacian Eigenmaps for Dimensionality Reduction and Data Representation (Q4816852):

Displaying 50 items.

• Shape classification by manifold learning in multiple observation spaces (Q903623) (← links)
• Measure-based diffusion grid construction and high-dimensional data discretization (Q905899) (← links)
• Data analysis and representation on a general domain using eigenfunctions of Laplacian (Q930736) (← links)
• Beyond FCM: Graph-theoretic post-processing algorithms for learning and representing the data structure (Q931693) (← links)
• Coarse analysis of collective motion with different communication mechanisms (Q938687) (← links)
• Feature extraction using constrained maximum variance mapping (Q941563) (← links)
• Graph spectral image smoothing using the heat kernel (Q941573) (← links)
• Non-linear independent component analysis with diffusion maps (Q942156) (← links)
• Supervised dimensionality reduction via sequential semidefinite programming (Q947992) (← links)
• Locally linear discriminant embedding: An efficient method for face recognition (Q948015) (← links)
• Discriminatively regularized least-squares classification (Q955831) (← links)
• Horseshoes in multidimensional scaling and local kernel methods (Q958313) (← links)
• Matrix perturbation analysis of local tangent space alignment (Q959878) (← links)
• Towards a theoretical foundation for Laplacian-based manifold methods (Q959898) (← links)
• Learning and approximation by Gaussians on Riemannian manifolds (Q960002) (← links)
• Nonlinear embedding preserving multiple local-linearities (Q962665) (← links)
• Graph-optimized locality preserving projections (Q962793) (← links)
• A multilevel approach for learning from labeled and unlabeled data on graphs (Q962820) (← links)
• Person-independent head pose estimation using biased manifold embedding (Q966687) (← links)
• Distributed event region detection in wireless sensor networks (Q966691) (← links)
• A metric multidimensional scaling-based nonlinear manifold learning approach for unsupervised data reduction (Q966949) (← links)
• Reference free structure determination through eigenvectors of center of mass operators (Q970371) (← links)
• Supervised locally linear embedding with probability-based distance for classification (Q971567) (← links)
• Cross-media retrieval using query dependent search methods (Q975207) (← links)
• Text data mining: theory and methods (Q975565) (← links)
• A spectral graph approach to discovering genetic ancestry (Q977631) (← links)
• Adaptive nonlinear manifolds and their applications to pattern recognition (Q985086) (← links)
• People re-identification by spectral classification of silhouettes (Q985582) (← links)
• Nonlinear dimensionality reduction with hybrid distance for trajectory representation of dynamic texture (Q985584) (← links)
• Feature extraction by learning Lorentzian metric tensor and its extensions (Q991929) (← links)
• Two-dimensional supervised local similarity and diversity projection (Q991942) (← links)
• Face recognition using discriminant locality preserving projections based on maximum margin criterion (Q991979) (← links)
• Face recognition using Intrinsicfaces (Q991980) (← links)
• Image and video colorization using vector-valued reproducing kernel Hilbert spaces (Q993570) (← links)
• Encoding dissimilarity data for statistical model building (Q993793) (← links)
• Dimensionality reduction for heterogeneous dataset in rushes editing (Q1005610) (← links)
• Intrinsic dimension estimation of manifolds by incising balls (Q1010083) (← links)
• Weighted locally linear embedding for dimension reduction (Q1010087) (← links)
• Random projections of smooth manifolds (Q1029551) (← links)
• High order Parzen windows and randomized sampling (Q1047130) (← links)
• Model complexity control and statistical learning theory (Q1610716) (← links)
• A robust algorithm for template curve estimation based on manifold embedding (Q1615249) (← links)
• Consistency of modularity clustering on random geometric graphs (Q1617118) (← links)
• iSIRA: integrated shift-invert residual Arnoldi method for graph Laplacian matrices from big data (Q1624673) (← links)
• Manifold-based synthetic oversampling with manifold conformance estimation (Q1640402) (← links)
• Fast inference of individual admixture coefficients using geographic data (Q1647644) (← links)
• Density estimation on manifolds with boundary (Q1658472) (← links)
• Semisupervised tangent space discriminant analysis (Q1666391) (← links)
• Locality preserving score for joint feature weights learning (Q1669154) (← links)
• Multi-manifold LLE learning in pattern recognition (Q1669608) (← links)