Search Results for author: Ryan P. Browne

Found 8 papers, 1 papers with code

One Line To Rule Them All: Generating LO-Shot Soft-Label Prototypes

2 code implementations15 Feb 2021 Ilia Sucholutsky, Nam-Hwui Kim, Ryan P. Browne, Matthias Schonlau

We propose a novel, modular method for generating soft-label prototypical lines that still maintains representational accuracy even when there are fewer prototypes than the number of classes in the data.

One-Shot Learning

Model Based Clustering of High-Dimensional Binary Data

no code implementations11 Apr 2014 Yang Tang, Ryan P. Browne, Paul D. McNicholas

Recent work on clustering of binary data, based on a $d$-dimensional Gaussian latent variable, is extended by incorporating common factor analyzers.

Clustering Vocal Bursts Intensity Prediction

Asymmetric Clusters and Outliers: Mixtures of Multivariate Contaminated Shifted Asymmetric Laplace Distributions

no code implementations26 Feb 2014 Katherine Morris, Antonio Punzo, Paul D. McNicholas, Ryan P. Browne

Mixtures of multivariate contaminated shifted asymmetric Laplace distributions are developed for handling asymmetric clusters in the presence of outliers (also referred to as bad points herein).

A Mixture of Generalized Hyperbolic Factor Analyzers

no code implementations26 Nov 2013 Cristina Tortora, Paul D. McNicholas, Ryan P. Browne

Model-based clustering imposes a finite mixture modelling structure on data for clustering.


Mixtures of Common Skew-t Factor Analyzers

no code implementations21 Jul 2013 Paula M. Murray, Paul D. McNicholas, Ryan P. Browne

A mixture of common skew-t factor analyzers model is introduced for model-based clustering of high-dimensional data.


Constrained Optimization for a Subset of the Gaussian Parsimonious Clustering Models

no code implementations25 Jun 2013 Ryan P. Browne, Sanjeena Subedi, Paul McNicholas

Previous work has focused on circumventing this problem by constraining the smallest eigenvalue of the component covariance matrices.


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