Image de couverture de livre

Discriminative Subspace Emersion from learning feature relevances across different populations

Fuente: arXiv

Enregistré dans:

Détails bibliographiques
Auteurs principaux:	Canducci, Marco, Abdi, Lida, Prete, Alessandro, Veen, Roland J., Biehl, Michael, Arlt, Wiebke, Tino, Peter
Format:	Preprint
Publié:	2025
Sujets:	Machine Learning 68, 92 I.2.1; I.5.2; I.5.5; J.3
Accès en ligne:	Acceder al recurso
Tags:	Ajouter un tag Pas de tags, Soyez le premier à ajouter un tag!

Documents similaires

Uncovering Population PK Covariates from VAE-Generated Latent Spaces
par: Perazzolo, Diego, et autres
Publié: (2025)

IMUVIE: Pickup Timeline Action Localization via Motion Movies
par: Clapham, John, et autres
Publié: (2024)

Pairwise Spatiotemporal Partial Trajectory Matching for Co-movement Analysis
par: Cardei, Maria, et autres
Publié: (2024)

Alternative Local Discriminant Bases Using Empirical Expectation and Variance Estimation
par: Fossgaard, Eirik
Publié: (1999)

A Spatio-Temporal Deep Learning Approach For High-Resolution Gridded Monsoon Prediction
par: Borah, Parashjyoti, et autres
Publié: (2026)

Masked Contrastive Pre-Training Improves Music Audio Key Detection
par: Yonay, Ori, et autres
Publié: (2026)

EBIC: an open source software for high-dimensional and big data biclustering analyses
par: Orzechowski, Patryk, et autres
Publié: (2018)

Human-Robot Creative Interactions (HRCI): Exploring Creativity in Artificial Agents Using a Story-Telling Game
par: Sandoval, Eduardo Benitez, et autres
Publié: (2022)

Adaptive Riemannian Graph Neural Networks
par: Wang, Xudong, et autres
Publié: (2025)

Learnable Kernel Density Estimation for Graphs and Its Application to Graph-Level Anomaly Detection
par: Wang, Xudong, et autres
Publié: (2025)

Sparse Concept Bottleneck Models: Gumbel Tricks in Contrastive Learning
par: Semenov, Andrei, et autres
Publié: (2024)

Improving Omics-Based Classification: The Role of Feature Selection and Synthetic Data Generation
par: Perazzolo, Diego, et autres
Publié: (2025)

Regularisation in neural networks: a survey and empirical analysis of approaches
par: Opperman, Christiaan P., et autres
Publié: (2026)

Named entity recognition for Serbian legal documents: Design, methodology and dataset development
par: Kalušev, Vladimir, et autres
Publié: (2025)

SpATr: MoCap 3D Human Action Recognition based on Spiral Auto-encoder and Transformer Network
par: Bouzid, Hamza, et autres
Publié: (2023)

Adversarially Probing Cross-Family Sound Symbolism in 27 Languages
par: Sharma, Anika, et autres
Publié: (2025)

ScaleMAP: Preserving Local Density and Neighborhood Structure in Low-Dimensional Embeddings
par: Poorna, Rajas, et autres
Publié: (2026)

Balancing the Scales: A Comprehensive Study on Tackling Class Imbalance in Binary Classification
par: Abdelhamid, Mohamed, et autres
Publié: (2024)

Plug In and Learn: Federated Intelligence over a Smart Grid of Models
par: Abdurakhmanova, S., et autres
Publié: (2023)

Continuous Latent Contexts Enable Efficient Online Learning in Transformers
par: Anand, Emile, et autres
Publié: (2026)

PRACH Preamble Detection as a Multi-Class Classification Problem: A Machine Learning Approach Using SVM
par: Ferenc, F., et autres
Publié: (2025)

MoXaRt: Audio-Visual Object-Guided Sound Interaction for XR
par: Xu, Tianyu, et autres
Publié: (2026)

CASE: Contrastive Activation for Saliency Estimation
par: Williamson, Dane, et autres
Publié: (2025)

Measuring Robustness of Speech Recognition from MEG Signals Under Distribution Shift
par: Chien, Sheng-You, et autres
Publié: (2026)

Few-Shot Learning of a Graph-Based Neural Network Model Without Backpropagation
par: Lapin, Mykyta, et autres
Publié: (2025)

CAMRI Loss: Improving Recall of a Specific Class without Sacrificing Accuracy
par: Nishiyama, Daiki, et autres
Publié: (2022)

Ternary Decision Trees with Locally-Adaptive Uncertainty Zones
par: Smits, William
Publié: (2026)

A Boundary-Aware Non-parametric Granular-Ball Classifier Based on Minimum Description Length
par: Xian, Zeqiang, et autres
Publié: (2026)

RobustModelMaker: Coupling Bootstrap Stability Selection with Leakage-Safe Nested Cross-Validation for Scientific Machine Learning
par: Barnard, Amanda S
Publié: (2026)

Convexity-Driven Projection for Point Cloud Dimensionality Reduction
par: Sanyal, Suman
Publié: (2025)

Gaussian RBF Centered Kernel Alignment (CKA) in the Large Bandwidth Limit
par: Alvarez, Sergio A.
Publié: (2021)

Pan-Arctic Permafrost Landform and Human-built Infrastructure Feature Detection with Vision Transformers and Location Embeddings
par: Perera, Amal S., et autres
Publié: (2025)

Classification of descriptions and summary using multiple passes of statistical and natural language toolkits
par: Banthia, Saumya, et autres
Publié: (2020)

Accelerating Language Model Workflows with Prompt Choreography
par: Bai, TJ, et autres
Publié: (2025)

Automated Detection of Circadian-Dependent Epileptic Biomarkers for Seizure Localization: A Machine Learning and Signal Processing Framework
par: Gashti, Mehdi Zekriyapanah, et autres
Publié: (2025)

Distilled HuBERT for Mobile Speech Emotion Recognition: A Cross-Corpus Validation Study
par: Ismail, Saifelden M.
Publié: (2025)

OrganicHAR: Towards Activity Discovery in Organic Settings for Privacy Preserving Sensors Using Efficient Video Analysis
par: Patidar, Prasoon, et autres
Publié: (2026)

Precision at Scale: Domain-Specific Datasets On-Demand
par: Rodríguez-de-Vera, Jesús M, et autres
Publié: (2024)

A Multi-Encoder Frozen-Decoder Approach for Fine-Tuning Large Language Models
par: Dhole, Kaustubh D.
Publié: (2025)

FerretNet: Efficient Synthetic Image Detection via Local Pixel Dependencies
par: Liang, Shuqiao, et autres
Publié: (2025)