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Supervised dimensionality reduction

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Showing 1–50 of 57 papers

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