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Supervised dimensionality reduction

Papers

Showing 150 of 57 papers

TitleStatusHype
Supervised Dimensionality Reduction and Image Classification Utilizing Convolutional AutoencodersCode1
Scalable semi-supervised dimensionality reduction with GPU-accelerated EmbedSOMCode1
SLISEMAP: Supervised dimensionality reduction through local explanationsCode1
Adapting Text Embeddings for Causal InferenceCode1
An Embedding is Worth a Thousand Noisy LabelsCode1
Supervised dimensionality reduction by a Linear Discriminant Analysis on pre-trained CNN featuresCode0
On the Inherent Robustness of One-Stage Object Detection against Out-of-Distribution DataCode0
Supervised Discriminative Sparse PCA with Adaptive Neighbors for Dimensionality ReductionCode0
Computer-aided Interpretable Features for Leaf Image ClassificationCode0
Supervised Dimensionality Reduction for Big DataCode0
Supervised Quadratic Feature Analysis: Information Geometry Approach for Dimensionality ReductionCode0
Affective Manifolds: Modeling Machine's Mind to Like, Dislike, Enjoy, Suffer, Worry, Fear, and Feel Like A HumanCode0
Curvature Augmented Manifold Embedding and LearningCode0
Gravitational Dimensionality Reduction Using Newtonian Gravity and Einstein's General RelativityCode0
Dimensionality Reduction using Similarity-induced EmbeddingsCode0
SRP: Efficient class-aware embedding learning for large-scale data via supervised random projectionsCode0
Stochastic Mutual Information Gradient Estimation for Dimensionality Reduction NetworksCode0
Learning Active Subspaces and Discovering Important Features with Gaussian Radial Basis Functions Neural NetworksCode0
Local Shrunk Discriminant Analysis (LSDA)0
Manifold Partition Discriminant Analysis0
Multiclass spectral feature scaling method for dimensionality reduction0
Multi-Label Prediction via Sparse Infinite CCA0
Noisy multi-label semi-supervised dimensionality reduction0
Non-intrusive surrogate modelling using sparse random features with applications in crashworthiness analysis0
Nonlinear Supervised Dimensionality Reduction via Smooth Regular Embeddings0
Optimal learning rates for Kernel Conjugate Gradient regression0
A Category Space Approach to Supervised Dimensionality Reduction0
Semi-supervised Regression using Hessian energy with an application to semi-supervised dimensionality reduction0
SHOE: Supervised Hashing with Output Embeddings0
Simultaneously Learning Neighborship and Projection Matrix for Supervised Dimensionality Reduction0
Spectral feature scaling method for supervised dimensionality reduction0
Steering Distortions to Preserve Classes and Neighbors in Supervised Dimensionality Reduction0
Supervised Dimensionality Reduction and Visualization using Centroid-encoder0
Supervised Dimensionality Reduction via Distance Correlation Maximization0
Supervised Exponential Family Principal Component Analysis via Convex Optimization0
Supervised Manifold Learning via Random Forest Geometry-Preserving Proximities0
Supervised Visualization for Data Exploration0
Taking a Step Back with KCal: Multi-Class Kernel-Based Calibration for Deep Neural Networks0
Yet Another Algorithm for Supervised Principal Component Analysis: Supervised Linear Centroid-Encoder0
Order-Preserving Wasserstein Discriminant Analysis0
A Convex formulation for linear discriminant analysis0
A Harmonic Mean Linear Discriminant Analysis for Robust Image Classification0
Beyond Gauss: Image-Set Matching on the Riemannian Manifold of PDFs0
CASE -- Condition-Aware Sentence Embeddings for Conditional Semantic Textual Similarity Measurement0
Convergence rates of Kernel Conjugate Gradient for random design regression0
DiscLDA: Discriminative Learning for Dimensionality Reduction and Classification0
Discriminant Analysis in Contrasting Dimensions for Polycystic Ovary Syndrome Prognostication0
Efficient Optimization for Discriminative Latent Class Models0
Enhancing Supervised Visualization through Autoencoder and Random Forest Proximities for Out-of-Sample Extension0
Entangled Kernels -- Beyond Separability0
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