19 citations · 36 across the 26 of their papers we have counts for
4 papers · 1 filter
Efficient and Parallel Separable Dictionary Learning
Cristian Rusu, Paul Irofti
Separable, or Kronecker product, dictionaries provide natural decompositions for 2D signals, such as images. In this paper, we describe a highly parallelizable algorithm that learn…
Stochastic Proximal Gradient Algorithm with Minibatches. Application to Large Scale Learning Models
Andrei Patrascu, Ciprian Paduraru, Paul Irofti
Stochastic optimization lies at the core of most statistical learning models. The recent great development of stochastic algorithmic tools focused significantly onto proximal gradi…
Fault Handling in Large Water Networks with Online Dictionary Learning
Paul Irofti, Florin Stoican, Vicenç Puig
Fault detection and isolation in water distribution networks is an active topic due to its model's mathematical complexity and increased data availability through sensor placement.…
Unsupervised Dictionary Learning for Anomaly Detection
Paul Irofti, Andra Băltoiu
We investigate the possibilities of employing dictionary learning to address the requirements of most anomaly detection applications, such as absence of supervision, online formula…