3 papers
cs.CV2019
blessing in disguise: Designing Robust Turing Test by Employing Algorithm Unrobustness
Jiaming Zhang, Jitao Sang, Kaiyuan Xu +4
Turing test was originally proposed to examine whether machine's behavior is indistinguishable from a human. The most popular and practical Turing test is CAPTCHA, which is to disc…
cs.CV2016
Matrix Variate RBM Model with Gaussian Distributions
Simeng Liu, Yanfeng Sun, Yongli Hu +2
Restricted Boltzmann Machine (RBM) is a particular type of random neural network models modeling vector data based on the assumption of Bernoulli distribution. For multi-dimensiona…
cs.CV2016
Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications
Haoran Chen, Yanfeng Sun, Junbin Gao +2
Partial least squares regression (PLSR) has been a popular technique to explore the linear relationship between two datasets. However, most of algorithm implementations of PLSR may…