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3D object modeling and recognition via online hierarchical Pitman-yor process mixture learning

2015

We present a statistical framework for 3D objects modeling and recognition. Our framework is based on describing 3D objects using local descriptors from which a visual vocabulary if built and on a hierarchical Pitman-Yor process …

Unsupervised Learning of Dirichlet Compound Negative Multinomial Mixture Model using Minorization-Maximization Approach

2023

The Dirichlet Compound Negative Multinomial (DCNM) distribution is a probabilistic model used to model multivariate count data. The presence of the Gamma function in the density probability distribution increases significantly the time and computation complexity, …