Keywords: یادگیری مانیفولد; High-intensity focused ultrasound; Thermal lesion detection; Manifold learning; Isomap algorithm;
مقالات ISI یادگیری مانیفولد (ترجمه نشده)
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Keywords: یادگیری مانیفولد; Supervised dimension reduction; Topic models; Scalability; Local structure; Manifold learning
Keywords: یادگیری مانیفولد; Texture classification; Sparse representation; Manifold learning; Multi-manifold analysis; Few training image;
Keywords: یادگیری مانیفولد; Nonlinear dimensionality reduction; Manifold learning; Local structure alignment; Rank one tensor subspace; Image manifold
Keywords: یادگیری مانیفولد; Manifold learning; Financial analysis; Low-dimensional embedding; Information metric;
Keywords: یادگیری مانیفولد; Machine learning; Manifold learning; Nonlinear dimensionality reduction
Keywords: یادگیری مانیفولد; Process monitoring; Fault isolation; Nonlinear; Manifold learning; Maximum variance unfolding
Keywords: یادگیری مانیفولد; Fault diagnosis; Vibration signal; Manifold learning; Incremental enhanced locally linear embedding; Adaptive nearest neighbor classifier;
Keywords: یادگیری مانیفولد; Spectral embedding; Eigenfunction embedding; Eigenmap; Diffusion map; Global point signature; Heat kernel embedding; Shape registration; Nonlinear dimensionality reduction; Manifold learning
Keywords: یادگیری مانیفولد; Super-resolution; Face image; Support regression; Manifold learning
Keywords: یادگیری مانیفولد; Dimensionality reduction; Manifold regularization; Feature mapping; Manifold learning; Out-of-sample extrapolation;
Keywords: یادگیری مانیفولد; Manifold learning; Nonlinear dimensionality reduction; Linear dimensionality reduction; Loss of quality; Quality assessment criteria
Keywords: یادگیری مانیفولد; Diffusion distance; Graph Laplacian; Manifold learning; Dynamic graphs; Dimensionality reduction; Kernel method; Spectral graph theory
Keywords: یادگیری مانیفولد; Cortical feature; Cortical thickness; Sulcal depth; Manifold learning; Early prediction; Alzheimer's disease;
Keywords: یادگیری مانیفولد; Nonlinear dimensionality reduction; Manifold learning; Classification; Cancer microarray data;
Keywords: یادگیری مانیفولد; Fault diagnosis; Semi-supervised kernel Marginal Fisher analysis; Feature extraction; Dimensionality reduction; Manifold learning;
Keywords: یادگیری مانیفولد; Shape descriptors; Prostate histopathology; Gleason grading; Manifold learning; Diffeomorphic registration;
Keywords: یادگیری مانیفولد; Manifolds; Manifold learning; Image processing; Anomaly detection; Target detection;
Keywords: یادگیری مانیفولد; Dementia diagnosis; Feature selection; Manifold learning
Keywords: یادگیری مانیفولد; Dimensionality reduction; Manifold learning; Laplacian eigenmaps; Out-of-sample extension; Extreme learning machine
Keywords: یادگیری مانیفولد; ICP; Intensive care; Traumatic brain injury; Manifold learning; Noise reduction
Keywords: یادگیری مانیفولد; Extreme learning machine; Semi-supervised learning; Manifold learning; Hessian regularization
Keywords: یادگیری مانیفولد; SOM; PCA; Random initiation; Benchmark test; Manifold learning
Keywords: یادگیری مانیفولد; Complex network; Community detection; Density-based clustering; Manifold learning; IsoMap
Keywords: یادگیری مانیفولد; Phone classification; TIMIT; Manifold learning; Graph embedding framework; LDA-based dimensionality reduction
Keywords: یادگیری مانیفولد; Manifold learning; Dimensionality reduction; Partial classification; Classifier fusion; Phone classification; TIMIT
Integration of weighted LS-SVM and manifold learning for fuzzy modeling
Keywords: یادگیری مانیفولد; Fuzzy model; Weighted LS-SVM; Manifold learning; Robustness; Hydraulic actuator; Noise;
Low cost localization using Nyström extended locally linear embedding
Keywords: یادگیری مانیفولد; Locally linear embedding; Localization; Nyström method; Received signal strength indicator; Manifold learning;
Spot image ablated by femtosecond laser segmentation and feature clustering after dimension reduction reconstruction
Keywords: یادگیری مانیفولد; Femtosecond laser; plasma spot; image segmentation; manifold learning; feature dimension reduction;
Human disease MiRNA inference by combining target information based on heterogeneous manifolds
Keywords: یادگیری مانیفولد; miRNA-disease associations; Heterogeneousnetwork; Manifold learning; Graph regularization; Target information;
Multi-scale kernels for Nyström based extension schemes
Keywords: یادگیری مانیفولد; Kernel methods; Manifold learning; Dimensionality reduction; Function extension;
Kurtogram manifold learning and its application to rolling bearing weak signal detection
Keywords: یادگیری مانیفولد; Kurtogram; Manifold learning; Signal detection; Dimensionality reduction; In-band noise;
Robust ordinal regression induced by lp-centroid
Keywords: یادگیری مانیفولد; Ordinal regression (OR); Class-center-induced threshold OR; lp-centroid; Discriminant learning; Manifold learning;
Manifold learning-based methods for analyzing single-cell RNA-sequencing data
Keywords: یادگیری مانیفولد; Manifold learning; Single cell RNA sequencing; Data mining; Imputation; Gene regulatory networks; Pseudotime trends;
SSC-EKE: Semi-supervised classification with extensive knowledge exploitation
Keywords: یادگیری مانیفولد; Support vector machine (SVM); Semi-supervised classification; Manifold learning; Graph Laplacian; Knowledge; Reproducing kernel Hilbert space (RKHS);
Connectopic mapping with resting-state fMRI
Keywords: یادگیری مانیفولد; Resting-state fMRI; Functional connectivity; Topographic maps; Manifold learning; Spatial statistics;
Bogie Fault Identification Based on EEMD Information Entropy and Manifold Learning
Keywords: یادگیری مانیفولد; High speed train; fault recognition; empirical mode decomposition information entropy; feature extraction; manifold learning;
BundleMAP: Anatomically localized classification, regression, and hypothesis testing in diffusion MRI
Keywords: یادگیری مانیفولد; Disease detection; Manifold learning; Support vector machines; Classification; Regression; Fiber tracking; Diffusion MRI;
Dynamical system classification with diffusion embedding for ECG-based person identification
Keywords: یادگیری مانیفولد; Classification; Manifold learning; Person identification; ECG;
VPPAW penetration monitoring based on fusion of visual and acoustic signals using t-SNE and DBN model
Keywords: یادگیری مانیفولد; VPPAW; Penetration monitoring; Deep belief network; Manifold learning; Feature extracting;
Nonlinearity-aware based dimensionality reduction and over-sampling for AD/MCI classification from MRI measures
Keywords: یادگیری مانیفولد; Alzheimer's disease; Multi-kernel learning; Manifold learning; Feature selection; Over-sampling;
Autoadaptive motion modelling for MR-based respiratory motion estimation
Keywords: یادگیری مانیفولد; MR-guided interventions; Respiratory motion correction; Motion modelling; Manifold learning; Manifold alignment;
Group-constrained manifold learning: Application to AD risk assessment
Keywords: یادگیری مانیفولد; Alzheimer's disease; Manifold learning; Longitudinal; Neurodegeneration;
A novel relational regularization feature selection method for joint regression and classification in AD diagnosis
Keywords: یادگیری مانیفولد; Alzheimer's disease; Feature selection; Sparse coding; Manifold learning; MCI conversion;
Multiscale geometric methods for data sets I: Multiscale SVD, noise and curvature
Keywords: یادگیری مانیفولد; Covariance matrix estimation; Manifold learning; Multiscale analysis; Multiscale singular values; Intrinsic dimension estimation; Multiscale analysis; Geometric measure theory; Point cloud data;
Local linear Laplacian eigenmaps: A direct extension of LLE
Keywords: یادگیری مانیفولد; Manifold learning; Direct extension of LLE; Local linear Laplacian eigenmaps (LLLE); Local linear structures; Nonlinear dimensionality reduction;
A-Optimal Non-negative Projection with Hessian regularization
Keywords: یادگیری مانیفولد; Non-negative projection; Manifold learning; Optimum Experimental Designs
Process monitoring through manifold regularization-based GMM with global/local information
Keywords: یادگیری مانیفولد; Multimodal and nonlinear process monitoring; Manifold learning; Gaussian mixture model; Manifold regularization; Probabilistic indicator
Variable bandwidth diffusion kernels
Keywords: یادگیری مانیفولد; Diffusion maps; Variable bandwidth kernels; Manifold learning; Nonparametric modeling; Self-tuning kernels;
Building k-edge-connected neighborhood graph for distance-based data projection
Keywords: یادگیری مانیفولد; Data projection; Dimensionality reduction; Manifold learning; Neighborhood graph