Training effective node classifiers for cascade classification

DOI10.1007/s11263-013-0608-1zbMath1270.68259arXiv1301.2032OpenAlexW2007272817MaRDI QIDQ361264

Anton van den Hengel, Chunhua Shen, Sakrapee Paisitkriangkrai, Peng Wang

Publication date: 29 August 2013

Published in: International Journal of Computer Vision (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1301.2032

zbMATH Keywords

AdaBoostobject detectioncascade classifierhuman detectionminimax probability machine

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Pattern recognition, speech recognition (68T10)

Uses Software

• Boost C++ Libraries
• Mosek
• Boost
• PMT

Cites Work

• Mirror descent and nonlinear projected subgradient methods for convex optimization.
• 10.1162/153244303321897726
• Efficiently Learning a Detection Cascade With Sparse Eigenvectors
• Linear programming boosting via column generation
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