Search Results for author: Hankui Peng

Found 5 papers, 2 papers with code

Subspace Change-Point Detection via Low-Rank Matrix Factorisation

no code implementations8 Oct 2021 Euan Thomas McGonigle, Hankui Peng

Multivariate time series can often have a large number of dimensions, whether it is due to the vast amount of collected features or due to how the data sources are processed.

Change Point Detection Time Series

Weighted Sparse Subspace Representation: A Unified Framework for Subspace Clustering, Constrained Clustering, and Active Learning

1 code implementation8 Jun 2021 Hankui Peng, Nicos G. Pavlidis

Spectral-based subspace clustering methods have proved successful in many challenging applications such as gene sequencing, image recognition, and motion segmentation.

Active Learning Motion Segmentation

HERS Superpixels: Deep Affinity Learning for Hierarchical Entropy Rate Segmentation

1 code implementation7 Jun 2021 Hankui Peng, Angelica I. Aviles-Rivero, Carola-Bibiane Schönlieb

Using the learned affinities from the first stage, HERS builds a hierarchical tree structure that can produce any number of highly adaptive superpixels instantaneously.

Superpixels

Subspace Clustering with Active Learning

no code implementations8 Nov 2019 Hankui Peng, Nicos G. Pavlidis

In this paper, we propose an active learning framework for subspace clustering that sequentially queries informative points and updates the subspace model.

Active Learning Face Clustering +1

Subspace Clustering of Very Sparse High-Dimensional Data

no code implementations25 Jan 2019 Hankui Peng, Nicos Pavlidis, Idris Eckley, Ioannis Tsalamanis

In this paper we consider the problem of clustering collections of very short texts using subspace clustering.

Fraud Detection Sentiment Analysis

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