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Support vector machine / Classifier / Multiclass classification / Boosting methods for object categorization / Random subspace method / Statistics / Statistical classification / Linear classifier


Fast and Balanced: Efficient Label Tree Learning for Large Scale Object Recognition Jia Deng1,2 , Sanjeev Satheesh1 , Alexander C. Berg3 , Li Fei-Fei1 Computer Science Department, Stanford University1 Computer Science De
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Document Date: 2013-09-22 18:18:28

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Company

Neural Information Processing Systems / Google / MIT Press / /

IndustryTerm

dot product / i.e. vector dot products / information processing systems / optimization algorithm / iterative algorithm / feasible solution / brute force search / /

MusicGroup

Ours / /

Organization

Li Fei-Fei1 Computer Science Department / Stanford University1 Computer Science Department / Princeton University2 Computer Science Department / U.S. Securities and Exchange Commission / National Science Foundation / MIT / Pattern Analysis and Machine Intelligence / /

Person

Alina Beygelzimer / Gregory Griffin / Gregory B. Sorkin / T. Zhang / M. Yang / S. Zhu / T. Huang / Ai / K. Yu / Alexander L. Strehl / X. Zhou / T. Cour / L. Cao / John Langford / Yuri Lifshits / Pietro Perona / /

Position

Prime Minister / /

Product

T10 / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / The Journal of Machine Learning Research / /

Technology

K-means algorithm / iterative algorithm / Machine Learning / optimization algorithm / /

URL

http /

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