主 題：Computer vision experiments and Monte-carlo Inference
內(nèi)容簡(jiǎn)介：Monte-Carlo inference is an enormously popular tool for many Computer Science applications. In this talk, we will be briefly going through several Monte-carlo methods, including rejection sampling, importance sampling, MCMC, Slice sampling and the recently popular elliptical slice sampling; we also will illustrate how we have applied them in our computer vision works.
報(bào)告人：Richard Xu（徐亦達(dá)） 教授 博導(dǎo)
時(shí) 間：2016-12-02 14:00
地 點(diǎn)：競(jìng)慧東302
舉辦單位：理學(xué)院 統(tǒng)計(jì)與大數(shù)據(jù)研究院 科研部
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