Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...
We describe latent Dirichlet allocation (LDA), a generative probabilistic model for collections of discrete data such as text corpora. LDA is a three-level hierarchical Bayesian m...
We describe the g-factor which relates probability distributions on image features to distributions on the images themselves. The g-factor depends only on our choice of features a...
Large and complex information requires arbitrarily extensive displays for an exact, comprehensive visualization. This paper introduces a technique, time-multiplexing, for presenti...
This paper proposes a method by which 5WlH (who, when, where, what, why, how, and predicate) information is used to classify and navigate Japaneselanguage texts. 5WlH information,...