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Explore the latest object recognition framework applied to the MSRC dataset using supervised learning methods like SVM and Naïve Bayes. The study includes an introduction, detailed results, and analysis of 276 training and 256 testing images across 21 classes.
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Whatever, It is an OBJECT! Jun-Cheng Chen, Xi Chen, Yezhou Yang University of Maryland, College Park Our Approach Introduction Results • MSRC Dataset (276 Training/256 Testing Images, 21 Classes) • System Framework • Supervised Learning SVM/Naïve Bayes