Nowadays, deep representations have been attracting much attention owing to the great performance in various tasks. However, the interpretability of deep representations poses a vast challenge on real ...

For the fastest installation without building the package vignettes (tutorials), use the following commands.

This repository contains classes for the dimension reduction technique of non-negative matrix factorization alongside a data pre-processing technique. Three different cost functions have been ...

Abstract: We introduce a versatile approach for Boolean factorization of binary data matrices based on a projected hierarchical alternating least squares method. The general model considered in this ...

Abstract: Lower upper (LU) factorization for sparse matrices is the most important computing step for circuit simulation problems. However, parallelizing LU factorization on the graphic processing ...

Prime factorization is the process of breaking down a number into its prime factors. Prime factors are prime numbers that, when multiplied together, produce the original number. For 24, the prime ...