Nomi Vinokurov

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We address the problem of novelty detection in multiclass scenarios where some class labels are missing from the training set. Our method is based on the initial assignment of confidence values , which measure the affinity between a new test point and each known class. We first compare the values of the two top elements in this vector of confidence values.(More)
One of Parkinson's disease early symptoms is called hy-pomimia (masked facies), and timely detection of this symptom could potentially assist early diagnosis. In this study we developed methods to automatically detect and assess the severity of hypomimia, using machine learning tools and a 3D sensor that allows for fairly accurate facial movements tracking.(More)
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