Search Results for author: Linsey Pang

Found 3 papers, 0 papers with code

Probabilistic Outlier Detection and Generation

no code implementations22 Dec 2020 Stefano Giovanni Rizzo, Linsey Pang, Yixian Chen, Sanjay Chawla

A new method for outlier detection and generation is introduced by lifting data into the space of probability distributions which are not analytically expressible, but from which samples can be drawn using a neural generator.

Outlier Detection

On Integrated Clustering and Outlier Detection

no code implementations NeurIPS 2014 Lionel Ott, Linsey Pang, Fabio T. Ramos, Sanjay Chawla

We model the joint clustering and outlier detection problem using an extension of the facility location formulation.

Outlier Detection

Integer Programming Relaxations for Integrated Clustering and Outlier Detection

no code implementations6 Mar 2014 Lionel Ott, Linsey Pang, Fabio Ramos, David Howe, Sanjay Chawla

We present and contrast three relaxations to the integer program formulation: (i) a linear programming formulation (LP) (ii) an extension of affinity propagation to outlier detection (APOC) and (iii) a Lagrangian duality based formulation (LD).

Outlier Detection

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