Maryam Amirmazlaghani

A Unified Framework for Subspace Clustering: Unification of Graph Neural Networks, Attention, and Coding Rate Reduction

Subspace clustering refers to the task of segmenting data points that lie on a union of subspaces. Current state-of-the-art methods for this task leverage the self-expressive property of subspaces, where each data point is represented as a linear combination of other points within the same subspace. Recent efforts have...