2 papers
cs.DC2026
High-Performance Star-M SVD for Big Data Compression
Md Taufique Hussain, Grey Ballard, Aditya Devarakonda +3
In the era of big data, effectively compressing large datasets while performing complex mathematical operations is crucial. Tensor-based decomposition methods have shown superior c…
cs.LG2024
Randomized Algorithms for Symmetric Nonnegative Matrix Factorization
Koby Hayashi, Sinan G. Aksoy, Grey Ballard +1
Symmetric Nonnegative Matrix Factorization (SymNMF) is a technique in data analysis and machine learning that approximates a symmetric matrix with a product of a nonnegative, low-r…