2 citations · 2 across the 2 of their papers we have counts for
4 papers
Effectiveness of Deep Image Embedding Clustering Methods on Tabular Data
Sakib Abrar, Ali Sekmen, Manar D. Samad
Deep learning methods in the literature are commonly benchmarked on image data sets, which may not be suitable or effective baselines for non-image tabular data. In this paper, we…
CUR Decompositions, Similarity Matrices, and Subspace Clustering
Akram Aldroubi, Keaton Hamm, Ahmet Bugra Koku +1
A general framework for solving the subspace clustering problem using the CUR decomposition is presented. The CUR decomposition provides a natural way to construct similarity matri…
Deterministic Versus Randomized Kaczmarz Iterative Projection
Tim Wallace, Ali Sekmen
Kaczmarz's alternating projection method has been widely used for solving a consistent (mostly over-determined) linear system of equations Ax=b. Because of its simple iterative nat…
Nearness to Local Subspace Algorithm for Subspace and Motion Segmentation
Akram Aldroubi, Ali Sekmen
There is a growing interest in computer science, engineering, and mathematics for modeling signals in terms of union of subspaces and manifolds. Subspace segmentation and clusterin…