Search Results for author: Ricardo J. G. B. Campello

Found 3 papers, 2 papers with code

On the Use of Relative Validity Indices for Comparing Clustering Approaches

no code implementations16 Apr 2024 Luke W. Yerbury, Ricardo J. G. B. Campello, G. C. Livingston Jr, Mark Goldsworthy, Lachlan O'Neil

Beyond these more conventional tasks, many examples can be found in the literature where RVIs have been used to compare and select other aspects of clustering approaches such as data normalisation procedures, data representation methods, and distance measures.

Clustering

LDReg: Local Dimensionality Regularized Self-Supervised Learning

1 code implementation19 Jan 2024 Hanxun Huang, Ricardo J. G. B. Campello, Sarah Monazam Erfani, Xingjun Ma, Michael E. Houle, James Bailey

Representations learned via self-supervised learning (SSL) can be susceptible to dimensional collapse, where the learned representation subspace is of extremely low dimensionality and thus fails to represent the full data distribution and modalities.

Self-Supervised Learning

Dimensionality-Aware Outlier Detection: Theoretical and Experimental Analysis

1 code implementation10 Jan 2024 Alastair Anderberg, James Bailey, Ricardo J. G. B. Campello, Michael E. Houle, Henrique O. Marques, Miloš Radovanović, Arthur Zimek

We present a nonparametric method for outlier detection that takes full account of local variations in intrinsic dimensionality within the dataset.

Outlier Detection

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