Search Results for author:
Found 6 papers, 4 papers with code
Tractable Clustering of Data on the Curve Manifold
However the data may actually be functional i. e.\ each data point is a function of some variable such as time and the function is discretely sampled.
Efficient Sparse Subspace Clustering by Nearest Neighbour Filtering
Sparse Subspace Clustering (SSC) has been used extensively for subspace identification tasks due to its theoretical guarantees and relative ease of implementation.
Collaborative Low-Rank Subspace Clustering
In this paper we present Collaborative Low-Rank Subspace Clustering.
Low-Rank Representation over the Manifold of Curves
However the data may actually be functional i. e.\ each data point is a function of some variable such as time and the function is discretely sampled.
Segmentation of Subspaces in Sequential Data
We propose Ordered Subspace Clustering (OSC) to segment data drawn from a sequentially ordered union of subspaces.
Subspace Clustering for Sequential Data
We propose Ordered Subspace Clustering (OSC) to segment data drawn from a sequentially ordered union of subspaces.
