28 citations · 34 across the 3 of their papers we have counts for
3 papers
stat.ML2012★ 4 cited
Efficient hierarchical clustering for continuous data
Ricardo Henao, Joseph E. Lucas
We present an new sequential Monte Carlo sampler for coalescent based Bayesian hierarchical clustering. Our model is appropriate for modeling non-i.i.d. data and offers a substanti…
cs.LG2010★ 2 cited
Semi-Supervised Kernel PCA
Christian Walder, Ricardo Henao, Morten Mørup +1
We present three generalisations of Kernel Principal Components Analysis (KPCA) which incorporate knowledge of the class labels of a subset of the data points. The first, MV-KPCA,…
stat.ML2010★ 28 cited
Sparse Linear Identifiable Multivariate Modeling
Ricardo Henao, Ole Winther
In this paper we consider sparse and identifiable linear latent variable (factor) and linear Bayesian network models for parsimonious analysis of multivariate data. We propose a co…