Max-Margin Additive Classifiers for Detection Subhransu Maji U.C. Berkeley, EECS Alexander C. Berg Columbia University, CS - Least squares support vector machine - Document - PDFSEARCH.IO

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	Max-Margin Additive Classifiers for Detection Subhransu Maji U.C. Berkeley, EECS Alexander C. Berg Columbia University, CS Add to Reading List Document Date: 2009-07-17 16:11:10 Open Document File Size: 418,56 KB Share Result on Facebook Company SVM / MIT Press / Daimler / / / Facility EECS Alexander C. Berg Columbia University / pyramid HOG / / IndustryTerm linear training algorithm / web-based tool / sub-linear search / dot product / computing / image search / Internet Vision Workshop / learning algorithm / / MarketIndex INRIA / set 15 / Daimler Chrysler Pedestrian / / OperatingSystem PEGASOS / / Organization Columbia University / MIT / U.S. Securities and Exchange Commission / / Person Max-Margin Additive Classifiers / Peter Bartlett / Alexander C. Berg / / Position Y. Singer / and N. Srebro / / Product Pentax K-x Digital Camera / / ProgrammingLanguage E / R / / PublishedMedium Machine Learning / / Technology neural network / PWLSGD algorithm / piecewise linear training algorithm / PEGASOS algorithm / Encoding identity identity identity snow=φ1 φ2 φ2 Training Algorithm / machine learning / Encoding identity identity snow=φ1 φ2 φ2 Training Algorithm / / URL http / SocialTag Statistical classification Machine learning Support vector machines Linear classifier Caltech 101 Kernel methods Vector space Least squares support vector machine Statistics Algebra

Max-Margin Additive Classifiers for Detection Subhransu Maji U.C. Berkeley, EECS Alexander C. Berg Columbia University, CSAdd to Reading List