Litcius/Paper detail

Subspace learning via Hessian regularized latent representation learning with $${l}_{2,0}$$-norm constraint: unsupervised feature selection

Amir Moslemi, Afshin Shaygani

2024International Journal of Machine Learning and Cybernetics15 citationsDOI

Topics & Concepts

Feature learningArtificial intelligenceSubspace topologyConstraint (computer-aided design)Norm (philosophy)Pattern recognition (psychology)Computational intelligenceFeature selectionRepresentation (politics)Computer scienceMathematicsMachine learningPoliticsPolitical scienceLawGeometryDomain Adaptation and Few-Shot LearningFace and Expression RecognitionMusic and Audio Processing
Subspace learning via Hessian regularized latent representation learning with ${l}_{2,0}$-norm constraint: unsupervised feature selection | Litcius