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We study the problem of how to recognize a person only by his eyebrow based on hidden Markov models (HMM). By experiments on a small-scale eyebrow image database taken from 27 subjects, we show that our HMM-based eyebrow recognition method can achieve the highest accuracy of 92.6%, based on the relation of its accuracy to the number of observation symbols(More)
The paper presents an accurate stochastic model for transfer latency of short-lived Web-like TCP flows with random packet losses. Our model characterizes a data transfer in alternating cycles, with TCP state information carried over from one cycle to the next. Simulation experiments show that our model matches simulation results for short-lived flows better(More)