SAC
2016
ACM
8 years 7 months ago
2016
ACM
Abstract Recent progress using geometry in the design of efficient Markov chain Monte Carlo (MCMC) algorithms have shown the effectiveness of the Fisher Riemannian structure. Furt...
SAC
2016
ACM
8 years 7 months ago
2016
ACM
For smoothing covariance functions, we propose two fast algorithms that scale linearly with the number of observations per function. Most available methods and software cannot smo...
SAC
2016
ACM
8 years 7 months ago
2016
ACM
Abstract Principal component analysis (PCA) is a wellestablished tool for identifying the main sources of variation in multivariate data. However, as a linear method it cannot desc...