25 citations · 55 across the 17 of their papers we have counts for
8 papers · 1 filter
Diverse Online Feature Selection
Chapman Siu, Richard Yi Da Xu
Online feature selection has been an active research area in recent years. We propose a novel diverse online feature selection method based on Determinantal Point Processes (DPP).…
The Dependent Random Measures with Independent Increments in Mixture Models
Cheng Luo, Richard Yi Da Xu, Yang Xiang
When observations are organized into groups where commonalties exist amongst them, the dependent random measures can be an ideal choice for modeling. One of the propositions of the…
Smoothed Hierarchical Dirichlet Process: A Non-Parametric Approach to Constraint Measures
Cheng Luo, Yang Xiang, Richard Yi Da Xu
Time-varying mixture densities occur in many scenarios, for example, the distributions of keywords that appear in publications may evolve from year to year, video frame features as…
Bayesian nonparametric image segmentation using a generalized Swendsen-Wang algorithm
Richard Yi Da Xu, Francois Caron, Arnaud Doucet
Unsupervised image segmentation aims at clustering the set of pixels of an image into spatially homogeneous regions. We introduce here a class of Bayesian nonparametric models to a…
Dependent Indian Buffet Process-based Sparse Nonparametric Nonnegative Matrix Factorization
Junyu Xuan, Jie Lu, Guangquan Zhang +2
Nonnegative Matrix Factorization (NMF) aims to factorize a matrix into two optimized nonnegative matrices appropriate for the intended applications. The method has been widely used…
Nonparametric Relational Topic Models through Dependent Gamma Processes
Junyu Xuan, Jie Lu, Guangquan Zhang +2
Traditional Relational Topic Models provide a way to discover the hidden topics from a document network. Many theoretical and practical tasks, such as dimensional reduction, docume…