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Title: personNER Download
 Description: With CRF to achieve the name of the object recognition procedure were very good for the beginner pattern recognition
 To Search: personNER
  • [DM642_uart] - DM642 serial port communication program,
  • [faceDecting] - A very good face recognition and positio
  • [contour] - Based on OpenCV, looking for implementat
File list (Check if you may need any files):
personNER\personNER\crf
.........\.........\mallet\.cvsignore
.........\.........\......\.emacs.mallet
.........\.........\......\bin\CVS\Entries
.........\.........\......\...\...\Repository
.........\.........\......\...\...\Root
.........\.........\......\...\personNER
.........\.........\......\...\prepend-license.sh
.........\.........\......\build.xml
.........\.........\......\class\edu\umass\cs\mallet\base\classify\AccuracyEvaluator.class
.........\.........\......\.....\...\.....\..\......\....\........\AdaBoost.class
.........\.........\......\.....\...\.....\..\......\....\........\AdaBoostTrainer.class
.........\.........\......\.....\...\.....\..\......\....\........\ApproximityPruning.class
.........\.........\......\.....\...\.....\..\......\....\........\BaggingClassifier.class
.........\.........\......\.....\...\.....\..\......\....\........\BaggingTrainer.class
.........\.........\......\.....\...\.....\..\......\....\........\Boostable.class
.........\.........\......\.....\...\.....\..\......\....\........\Classification.class
.........\.........\......\.....\...\.....\..\......\....\........\Classifier.class
.........\.........\......\.....\...\.....\..\......\....\........\ClassifierEvaluating.class
.........\.........\......\.....\...\.....\..\......\....\........\ClassifierTrainer.class
.........\.........\......\.....\...\.....\..\......\....\........\ConfidencePredictingClassifier.class
.........\.........\......\.....\...\.....\..\......\....\........\ConfidencePredictingClassifierTrainer.class
.........\.........\......\.....\...\.....\..\......\....\........\DecisionTree$Node.class
.........\.........\......\.....\...\.....\..\......\....\........\DecisionTree.class
.........\.........\......\.....\...\.....\..\......\....\........\DecisionTreeTrainer.class
.........\.........\......\.....\...\.....\..\......\....\........\evaluate\AccuracyCoverage$1.class
.........\.........\......\.....\...\.....\..\......\....\........\........\AccuracyCoverage$ClassificationComparator.class
.........\.........\......\.....\...\.....\..\......\....\........\........\AccuracyCoverage.class
.........\.........\......\.....\...\.....\..\......\....\........\........\ConfusionMatrix.class
.........\.........\......\.....\...\.....\..\......\....\........\........\Graph$Legend.class
.........\.........\......\.....\...\.....\..\......\....\........\........\Graph.class
.........\.........\......\.....\...\.....\..\......\....\........\........\Graph2.class
.........\.........\......\.....\...\.....\..\......\....\........\........\GraphItem.class
.........\.........\......\.....\...\.....\..\......\....\........\.xamples\DocumentClassifier.class
.........\.........\......\.....\...\.....\..\......\....\........\FeatureSelectingClassifierTrainer.class
.........\.........\......\.....\...\.....\..\......\....\........\Kernel.class
.........\.........\......\.....\...\.....\..\......\....\........\LinearKernel.class
.........\.........\......\.....\...\.....\..\......\....\........\MaxEnt.class
.........\.........\......\.....\...\.....\..\......\....\........\MaxEnt2.class
.........\.........\......\.....\...\.....\..\......\....\........\MaxEnt3.class
.........\.........\......\.....\...\.....\..\......\....\........\MaxEnt4.class
.........\.........\......\.....\...\.....\..\......\....\........\MaxEnt5.class
.........\.........\......\.....\...\.....\..\......\....\........\MaxEnt6.class
.........\.........\......\.....\...\.....\..\......\....\........\MaxEnt8.class
.........\.........\......\.....\...\.....\..\......\....\........\MaxEnt9.class
.........\.........\......\.....\...\.....\..\......\....\........\MaxEntTrainer$MaximizableTrainer.class
.........\.........\......\.....\...\.....\..\......\....\........\MaxEntTrainer$MinimizableTrainer.class
.........\.........\......\.....\...\.....\..\......\....\........\MaxEntTrainer.class
.........\.........\......\.....\...\.....\..\......\....\........\MaxEntTrainer2$MaximizableTrainer.class
.........\.........\......\.....\...\.....\..\......\....\.......

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