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Term project next steps

Explore existing research, summarize findings, normalize data, extract color and texture features, utilize SVM for classification, and analyze learning models. Process labeled training and test images, iterate over parameters for optimum accuracy, generate ROC curve, extend findings, and document progress.

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Term project next steps

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  1. Term project next steps • Read papers! • Review what others have done. Don’t re-invent the wheel. • Summarize your papers • Due Friday

  2. Last words on neural nets

  3. Normalize Normalize Extract Features (color, texture) Extract Features (color, texture) Statistical Learning (svmtrain) Classifier(svmfwd) Common model of learning machines Labeled Training Images Summary Test Image Label

  4. Sunset Process • Loop over images • Extract features • Normalize • Split into train and test • Save • Loop over kernel params • Train • Test • Record accuracy • For SVM with param giving best accuracy, • Generate ROC curve • Find good images • Do extension • Write as you go!

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