Max-min distance nonnegative matrix factorization

DOI10.1016/j.neunet.2014.10.006zbMath1325.68211arXiv1312.1613OpenAlexW2963291157WikidataQ41740061 ScholiaQ41740061MaRDI QIDQ889348

Jim Jing-Yan Wang, Xin Gao

Publication date: 6 November 2015

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1312.1613

zbMATH Keywords

supervised learningnonnegative matrix factorizationdata representationmax-min distance analysis

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10)

Related Items

Inter-class sparsity based discriminative least square regression ⋮ Orthogonal self-guided similarity preserving projection for classification and clustering

Uses Software

• Yale Face
• UniProt
• ESLpred

Cites Work

• Unnamed Item
• Unnamed Item
• Nonnegative matrix factorization and its applications in pattern recognition
• Multiple graph regularized nonnegative matrix factorization
• Duality theory for optimization problems with interval-valued objective functions
• Alternative optimization strategies for large-scale production-allocation problems
• Optimality and duality theory for stochastic optimization problems with nonlinear dominance constraints
• Generalized Lagrange function and generalized weak saddle points for a class of multiobjective fractional optimal control problems
• A comparative study of ordinary cross-validation, v-fold cross-validation and the repeated learning-testing methods
• Introducing a weighted non-negative matrix factorization for image classification
• Learning the parts of objects by non-negative matrix factorization
• Projected Gradient Methods for Nonnegative Matrix Factorization