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The top documents tagged [final classifier]
Chapter 5
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Random forest
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ECE 8443 – Pattern Recognition Objectives: Empirical Risk Minimization Large-Margin Classifiers Soft Margin Classifiers SVM Training Relevance Vector Machines
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Data Mining: Evaluasi dan Validasi Romi Satria Wahono
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Fame cvpr
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Building a Location Based Social Graph in Spark at InMobi-(Seinjuti Chatterjee and Ian Anderson, InMobi)
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Boosting Approach to ML Maria-Florina Balcan 03/18/2015 Perceptron, Margins, Kernels
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Adaboost and Object Detection Xu and Arun. Principle of Adaboost Three cobblers with their wits combined equal Zhuge Liang the master mind. Failure is
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The Viola/Jones Face Detector (2001) (Most slides from Paul Viola) A widely used method for real-time object detection. Training is slow, but detection
219 views
Margins, support vectors, and linear programming, oh my! Reading: Bishop, 4.0, 4.1, 7.0, 7.1 Burges tutorial (on class resources page)
213 views
Linear Methods, cont’d; SVMs intro. Straw poll Which would you rather do first? Unsupervised learning Clustering Structure of data Scientific discovery
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Using Statistic-based Boosting Cascade Weilong Yang, Wei Song, Zhigang Qiao, Michael Fang 1
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