Unsupervised Deformable Registration for Multi-Modal Images via Disentangled Representations

no code implementations • 22 Mar 2019 • Chen Qin, Bibo Shi, Rui Liao, Tommaso Mansi, Daniel Rueckert, Ali Kamen

The proposed registration approach is then built on the factorized latent shape code, with the assumption that the intrinsic shape deformation existing in original image domain is preserved in this latent space.

Image Registration Image-to-Image Translation

Nonlinear Metric Learning through Geodesic Interpolation within Lie Groups

no code implementations • 12 May 2018 • Zhewei Wang, Bibo Shi, Charles D. Smith, Jundong Liu

In this paper, we propose a nonlinear distance metric learning scheme based on the fusion of component linear metrics.

General Classification Metric Learning

UNSUPERVISED METRIC LEARNING VIA NONLINEAR FEATURE SPACE TRANSFORMATIONS

no code implementations • ICLR 2018 • Pin Zhang, Bibo Shi, JundongLiu

In this paper, we propose a nonlinear unsupervised metric learning framework to boost of the performance of clustering algorithms.

Clustering Metric Learning

Nonlinear Metric Learning for kNN and SVMs through Geometric Transformations

no code implementations • 6 Aug 2015 • Bibo Shi, Jundong Liu

In recent years, research efforts to extend linear metric learning models to handle nonlinear structures have attracted great interests.

Metric Learning