Understanding pedestrian behaviors is crucial for a safe navigation of self-driving vehicles.
However, pedestrians exhibit a large variety in their motion behaviors that are affected by …

In this contribution we consider sparse linear regression problems. It is well known that the
mutual coherence, ie the maximum correlation of the regressors, is important for the ability of …

One of the major contributions to sparse learning has been to quantify how the correlation
between the regressors affect the ability to recover a sparse parameter vector. Roughly, the …

By growing the size of signals in one-dimensional dictionary learning for sparse
representation, memory consumption and complex computations restrict the learning …

Sparse parameter estimation is an important aspect of system identification, as it allows for
reducing the order of a model, and also some models in system identification inherently …