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Paul Irofti

2 accepted papers

2022

Dictionary Learning with Uniform Sparse Representations for Anomaly Detection

ICASSP 2022accepted

Many applications like audio and image processing show that sparse representations are a powerful and efficient signal modeling technique. Finding an optimal dictionary that generates at the same time the sparsest representations of data and the smallest approximation error is a hard problem approac…

Cited by 0SourceScholar
2019

Pairwise Approximate K-SVD

ICASSP 2019accepted

Pairwise, or separable, dictionaries are suited for the sparse representation of 2D signals in their original form, without vectorization. They are equivalent with enforcing a Kronecker structure on a standard dictionary for 1D signals. We present a dictionary learning algorithm, in the coordinate d…

Cited by 0SourceScholar