Reconstruction for block-based compressive sensing of image with reweighted double sparse constraint

Reconstruction for block-based compressive sensing of image with reweighted double sparse constraint Block compressive sensing reduces the computational complexity by dividing the image into multiple patches for processing, but the…
continue reading

Correction to: Towards a ‘smart’ cost–benefit tool: using machine learning to predict the costs of criminal justice policy interventions

Correction to: Towards a ‘smart’ cost–benefit tool: using machine learning to predict the costs of criminal justice policy interventions The original version of the article contained an error in the…
continue reading

Don’t shoot the messenger! A criminological and computer science perspective on coordinated vulnerability disclosure

Don’t shoot the messenger! A criminological and computer science perspective on coordinated vulnerability disclosure In the computer science field coordinated vulnerability disclosure is a well-known practice for finding flaws in…
continue reading