2 citations · 4 across the 4 of their papers we have counts for
3 papers · 1 filter
GPU accelerated matrix factorization of large scale data using block based approach
Prasad Bhavana, Vineet Padmanabhan
Matrix Factorization (MF) on large scale data takes substantial time on a Central Processing Unit (CPU). While Graphical Processing Unit (GPU)s could expedite the computation of MF…
Block based Singular Value Decomposition approach to matrix factorization for recommender systems
Prasad Bhavana, Vikas Kumar, Vineet Padmanabhan
With the abundance of data in recent years, interesting challenges are posed in the area of recommender systems. Producing high quality recommendations with scalability and perform…
Group Preserving Label Embedding for Multi-Label Classification
Vikas Kumar, Arun K Pujari, Vineet Padmanabhan +1
Multi-label learning is concerned with the classification of data with multiple class labels. This is in contrast to the traditional classification problem where every data instanc…