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Statistical classification / Computer vision / Linear classifier / Ensemble learning / Histogram of oriented gradients / Classifier / Supervised learning / Random forest / Support vector machine / Machine learning / Statistics / Artificial intelligence


POOF: Part-Based One-vs-One Features for Fine-Grained Categorization, Face Verification, and Attribute Estimation Thomas Berg Columbia University Peter N. Belhumeur
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Document Date: 2013-10-20 17:34:55


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Facility

University Peter N. Belhumeur / University of Massachusetts / building POOFs / California Institute of Technology / /

IndustryTerm

localized species categorization protocol / cross-validation protocol / image search / /

MarketIndex

set 200 / CUBS / LFW / /

Organization

California Institute of Technology / Columbia University / National Science Foundation / University of Massachusetts / Amherst / UCSD / /

Person

D. W. Jacobs / D. J. Kriegman / G. B. Huang / J. Liu / A. Kanazawa / A. C. Berg / N. Zhang / V / M. Ramesh / P. N. Belhumeur / E. Learned-Miller / S. K. Nayar / N. Kumar / T. Berg / L. Van Gool / T. Tuytelaars / Thomas Berg / Peter N. Belhumeur / /

Position

associate-Predict model for face recognition / office chair and kitchen chair / chair / General / /

ProvinceOrState

California / Massachusetts / /

PublishedMedium

Baseline / /

Technology

localized species categorization protocol / Machine Vision / Information Technology / Gesture Recognition / Image Processing / ten-fold cross-validation protocol / /

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