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In this paper, we apply MCMCLDA (Multi-class Markov Chain Latent Dirichlet Allocation) model to classify abnormal activity of students in an examination. Abnormal activity in exams is defined as a cheating activity. We compare the usage of Harris3D interest point detector and a human joints detector, MODEC (Multimodal Decomposable Models), as the feature detector. Experiment results show that using...
Outlier labeling can be considered as an early procedure to get the information of ‘suspects’. This paper introducesrobust kurtosis projection algorithm for multivariate outlier labeling of data set with moderate, high and very high percentage outlier. The algorithm works in two stages. In the first stage, we propose a projection approach to findthe orthonormal set of all vectors that maximize the...
The robust dimension reduction for classification of two dimensional data is discussed in this paper. The classification process is done with reference of original data. The classifying of class membership is not easy when more than one variable are loaded with the same information, and they can be written as a near linear combination of other variables. The standard approach to overcome this problem...
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