Subspace-based support vector machines for pattern classification

DOI10.1016/J.NEUNET.2009.06.026zbMath1335.68204DBLPjournals/nn/KitamuraTAF09OpenAlexW2013277201WikidataQ43920729 ScholiaQ43920729MaRDI QIDQ280347

Syogo Takeuchi, Shigeo Abe, Kazuhiro Fukui, Takuya Kitamura

Publication date: 10 May 2016

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

Full work available at URL: https://doi.org/10.1016/j.neunet.2009.06.026

zbMATH Keywords

linear programmingleast squareskernel methodssupport vector machinessubspace-based methods

Mathematics Subject Classification ID

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

Related Items (1)

Subspace-based support vector machines for pattern classification

Cites Work

• Subspace-based support vector machines for pattern classification
• Soft margins for AdaBoost

This page was built for publication: Subspace-based support vector machines for pattern classification