Maryam Moslemi Naeini

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We propose a technique to recognize actions of grasshoppers based on spectral clustering. We track the object in 3D and construct features using 3D object movement in segments of video which discriminate between different classes of actions. We sample from these feature vectors and compute the eigenvalues and eigen-vectors of affinity or similarity matrix.(More)
This paper reports the results of SIMD implementation of a number of interpolation algorithms on common personal computers. These methods fit a curve on some given input points for which a mathematical function form is not known. We have implemented four widely used methods using vector processing capabilities embedded in Pentium processors. By using SSE(More)
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