New computational algorithms make it possible to build neural networks with many input nodes and many layers, and distinguish "deep learning" of these networks from previous work on artificial neural nets.
Dental forensic identification targets to identify persons with dental traces. The task is vital for the investigation of criminal scenes and mass disasters because of the resistance of dental structures and the wide-existence of dental imaging.
However,thesparsityofaccount activities onsocial media limits theperformance ofexisting deep learning based coordination detectors as they can not exploit useful prior knowledge.