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Supervised dimensionality reduction

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Showing 1–50 of 57 papers

TitleStatusHype
An Embedding is Worth a Thousand Noisy LabelsCode1
Supervised Dimensionality Reduction and Image Classification Utilizing Convolutional AutoencodersCode1
SLISEMAP: Supervised dimensionality reduction through local explanationsCode1
Scalable semi-supervised dimensionality reduction with GPU-accelerated EmbedSOMCode1
Adapting Text Embeddings for Causal InferenceCode1
CASE -- Condition-Aware Sentence Embeddings for Conditional Semantic Textual Similarity Measurement—0
A Convex formulation for linear discriminant analysis—0
Supervised Quadratic Feature Analysis: Information Geometry Approach for Dimensionality ReductionCode0
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution DataCode0
Enhancing Supervised Visualization through Autoencoder and Random Forest Proximities for Out-of-Sample Extension—0
Gradient Boosting Mapping for Dimensionality Reduction and Feature Extraction—0
Curvature Augmented Manifold Embedding and LearningCode0
Learning Active Subspaces and Discovering Important Features with Gaussian Radial Basis Functions Neural NetworksCode0
Supervised Manifold Learning via Random Forest Geometry-Preserving Proximities—0
Yet Another Algorithm for Supervised Principal Component Analysis: Supervised Linear Centroid-Encoder—0
K-SpecPart: Supervised embedding algorithms and cut overlay for improved hypergraph partitioning—0
Non-intrusive surrogate modelling using sparse random features with applications in crashworthiness analysis—0
Gravitational Dimensionality Reduction Using Newtonian Gravity and Einstein's General RelativityCode0
Affective Manifolds: Modeling Machine's Mind to Like, Dislike, Enjoy, Suffer, Worry, Fear, and Feel Like A HumanCode0
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks—0
Discriminant Analysis in Contrasting Dimensions for Polycystic Ovary Syndrome Prognostication—0
Computer-aided Interpretable Features for Leaf Image ClassificationCode0
Stochastic Mutual Information Gradient Estimation for Dimensionality Reduction NetworksCode0
Joint Dimensionality Reduction for Separable Embedding Estimation—0
Entangled Kernels -- Beyond Separability—0
Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction—0
Manifold Partition Discriminant Analysis—0
Supervised dimensionality reduction by a Linear Discriminant Analysis on pre-trained CNN featuresCode0
Supervised Visualization for Data Exploration—0
Supervised Dimensionality Reduction and Visualization using Centroid-encoder—0
Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality ReductionCode0
Multiclass spectral feature scaling method for dimensionality reduction—0
Order-Preserving Wasserstein Discriminant Analysis—0
Noisy multi-label semi-supervised dimensionality reduction—0
Extending classical surrogate modelling to high-dimensions through supervised dimensionality reduction: a data-driven approach—0
SRP: Efficient class-aware embedding learning for large-scale data via supervised random projectionsCode0
Learning Low-Dimensional Temporal Representations—0
Spectral feature scaling method for supervised dimensionality reduction—0
Nonlinear Supervised Dimensionality Reduction via Smooth Regular Embeddings—0
Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction—0
Supervised Dimensionality Reduction for Big DataCode0
Dimensionality Reduction using Similarity-induced EmbeddingsCode0
Local Shrunk Discriminant Analysis (LSDA)—0
A Category Space Approach to Supervised Dimensionality Reduction—0
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification—0
Convergence rates of Kernel Conjugate Gradient for random design regression—0
Supervised Dimensionality Reduction via Distance Correlation Maximization—0
Foundations of Coupled Nonlinear Dimensionality Reduction—0
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs—0
SHOE: Supervised Hashing with Output Embeddings—0
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