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Understanding LDBI Classifiers: Untrained vs. Trained in ALISA Control Console

LDBI is a specialized subset of the ALISA Control Console, involving both untrained and trained classifiers. Once trained, classifier entries are stored in the STM for efficient testing using an Untrained Classifier. In this context, an untrained classifier processes patterns from images with unknown classifications. The training phase involves analyzing patterns and comparing them to known classes. The testing phase assesses images, highlighting regions recognized by the classifier. This process enhances understanding of image classification with both trained and untrained models.

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Understanding LDBI Classifiers: Untrained vs. Trained in ALISA Control Console

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  1. USING LDBI LDBI is a subset of ALISA

  2. CONTROL CONSOLE

  3. UNTRAINED AND TRAINED Classifiers After trained the entries are stored in the STM

  4. TESTING an UnTrainedClassIFIER All the patterns of the image are unknown in an untrained classifier

  5. TRAINING Classes Testing the pattern after testing the desired pattern for a given class

  6. TRAINING Classes Testing the pattern after testing the desired pattern for a given class

  7. TESTING ClassIFIER Testing an images shows the areas of the images known for the classifier

  8. TESTING ClassIFIER Testing an images shows the areas of the images known for the classifier

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