Blasso for object categorization and retrieval: towards interpretable visual models

DOI10.1016/j.patcog.2011.11.022zbMath1234.68355OpenAlexW2056602344MaRDI QIDQ408074

Alexis Joly, Ahmed Rebai, Nozha Boujemaa

Publication date: 28 March 2012

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2011.11.022

zbMATH Keywords

interpretabilitysparsityboostingfeature selectionlassoobject categorization

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (1)

On group-wise \(\ell_p\) regularization: theory and efficient algorithms

Uses Software

• AdaBoost.MH
• ElemStatLearn
• Caltech-256

Cites Work

• A decision-theoretic generalization of on-line learning and an application to boosting
• Additive logistic regression: a statistical view of boosting. (With discussion and a rejoinder by the authors)
• Least angle regression. (With discussion)
• Soft margins for AdaBoost
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