Abstract
HAL is a multi-disciplinary open access archive for the deposit and dissemination of sci-entific research documents, whether they are pub-lished or not. The documents may come from teaching and research institutions in France or abroad, or from public or private research centers. L’archive ouverte pluridisciplinaire HAL, est destinée au dépôt et a ̀ la diffusion de documents scientifiques de niveau recherche, publiés ou non, émanant des établissements d’enseignement et de recherche français ou étrangers, des laboratoires publics ou privés.
Keywords
Discriminative modelArtificial intelligencePattern recognition (psychology)Affine transformationComputer scienceInvariant (physics)Probabilistic logicEntropy (arrow of time)Principle of maximum entropyCognitive neuroscience of visual object recognitionComputer visionObject (grammar)MathematicsGeometry
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HAL is a multi-disciplinary open access archive for the deposit and dissemination of scientific research documents, whether they are published or not.The documents may come from...
Publication Info
- Year
- 2005
- Type
- article
- Pages
- 832-838 Vol. 1
- Citations
- 188
- Access
- Closed
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Cite This
Svetlana Lazebnik,
C. Schmid,
Jean Ponce
(2005).
A maximum entropy framework for part-based texture and object recognition.
, 832-838 Vol. 1.
https://doi.org/10.1109/iccv.2005.10
Identifiers
- DOI
- 10.1109/iccv.2005.10