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Supervised dimensionality reduction

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Showing 26–50 of 57 papers

TitleStatusHype
Optimal learning rates for Kernel Conjugate Gradient regression—0
A Category Space Approach to Supervised Dimensionality Reduction—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
Order-Preserving Wasserstein Discriminant Analysis—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
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
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