LMNN

swMATH29754MaRDI QIDQ41468

No author found.

Source code repository: https://github.com/tum-vision/csd_lmnn/tree/master/code/thirdparty/LMNN

Related Items (68)

A nearest-neighbor search model for distance metric learning ⋮ Low-Rank Online Metric Learning ⋮ Double linear regressions for single labeled image per person face recognition ⋮ Unnamed Item ⋮ A novel margin based algorithm for feature extraction ⋮ Kernel-based linear classification on categorical data ⋮ Tuning of the hyperparameters for \(L2\)-loss SVMs with the RBF kernel by the maximum-margin principle and the jackknife technique ⋮ Geometry preserving multi-task metric learning ⋮ An efficient algorithm for Bayesian nearest neighbours ⋮ Retrieval of brain tumors with region-specific bag-of-visual-words representations in contrast-enhanced MRI images ⋮ Using the K-nearest neighbor algorithm for the classification of lymph node metastasis in gastric cancer ⋮ Large margin subspace learning for feature selection ⋮ Active learning for semi-supervised clustering based on locally linear propagation reconstruction ⋮ Learning a distance metric from relative comparisons between quadruplets of images ⋮ Image annotation by propagating labels from semantic neighbourhoods ⋮ A supervised non-linear dimensionality reduction approach for manifold learning ⋮ Non-rigid 3D shape retrieval based on multi-scale graphical image and joint Bayesian ⋮ Learning distance metric for object contour tracking ⋮ A Klein-bottle-based dictionary for texture representation ⋮ Good edit similarity learning by loss minimization ⋮ An efficient method for clustered multi-metric learning ⋮ Joint Feature Transformation and Selection Based on Dempster-Shafer Theory ⋮ Ordinal Distance Metric Learning with MDS for Image Ranking ⋮ Survey on distance metric learning and dimensionality reduction in data mining ⋮ Multiclass classification with potential function rules: margin distribution and generalization ⋮ A boosting approach for supervised Mahalanobis distance metric learning ⋮ CFSBoost: cumulative feature subspace boosting for drug-target interaction prediction ⋮ Unsupervised representation learning with minimax distance measures ⋮ Stability and optimization error of stochastic gradient descent for pairwise learning ⋮ A new class of metrics for learning on real-valued and structured data ⋮ Neural Decoding with Kernel-Based Metric Learning ⋮ Wasserstein discriminant analysis ⋮ Unnamed Item ⋮ On the positive semi-definite property of similarity matrices ⋮ Fast generalization rates for distance metric learning. Improved theoretical analysis for smooth strongly convex distance metric learning ⋮ Lowest probability mass neighbour algorithms: relaxing the metric constraint in distance-based neighbourhood algorithms ⋮ Efficient distance metric learning by adaptive sampling and mini-batch stochastic gradient descent (SGD) ⋮ SICA: subjectively interesting component analysis ⋮ Cross-Domain Metric and Multiple Kernel Learning Based on Information Theory ⋮ Generalization ability of online pairwise support vector machine ⋮ Pattern recognition via projection-based \(k\)NN rules ⋮ Time series classification by class-specific Mahalanobis distance measures ⋮ Learning distance to subspace for the nearest subspace methods in high-dimensional data classification ⋮ Sparse distance metric learning ⋮ A graph-based semi-supervised \(k\) nearest-neighbor method for nonlinear manifold distributed data classification ⋮ Learning a priori constrained weighted majority votes ⋮ 1D embedding multi-category classification methods ⋮ Model-aware categorical data embedding: a data-driven approach ⋮ Supervised distance metric learning through maximization of the Jeffrey divergence ⋮ Joint distance and similarity measure learning based on triplet-based constraints ⋮ Algorithms for nonnegative matrix and tensor factorizations: a unified view based on block coordinate descent framework ⋮ Safe Triplet Screening for Distance Metric Learning ⋮ Composite distance metric integration by leveraging multiple experts' inputs and its application in patient similarity assessment ⋮ Convergence analysis of distributed multi-penalty regularized pairwise learning ⋮ Image matching from handcrafted to deep features: a survey ⋮ Social media as author-audience games ⋮ Semantic distance between vague concepts in a framework of modeling with words ⋮ Distance metric learning for graph structured data ⋮ Ordinal regression with explainable distance metric learning based on ordered sequences ⋮ Interpretable machine learning: fundamental principles and 10 grand challenges ⋮ Data-driven prediction of multistable systems from sparse measurements ⋮ Unnamed Item ⋮ A Novel Neural Model With Lateral Interaction for Learning Tasks ⋮ Classification From Pairwise Similarities/Dissimilarities and Unlabeled Data via Empirical Risk Minimization ⋮ Prescriptive selection of machine learning hyperparameters with applications in power markets: retailer's optimal trading ⋮ KNN Loss and Deep KNN ⋮ Adaptive Euclidean maps for histograms: generalized Aitchison embeddings ⋮ Local discriminative distance metrics ensemble learning

This page was built for software: LMNN