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Let there are two individuals A, and B. Both walk in the same environment but different sessions. Their walking pattern is captured by accelerometer built into a smartphone. The accelerometer...
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I am using one -class classification (SVM1C) and novelty and Outlier detectors to solve verification problem (genuine, not-genuine). I have the following situation. (1) gen_training_samples...
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Is there anything wrong with the following process? Raw Data-> Features(100+) -> k-means(Features, EucAsklidean) -> Clusters Thanks!
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Hi everyone, As we know ROC curve is used to show the possible tradeoffs between the false accept rate and false reject rate when we have a global threshold set for all users. However, in some...
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