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