Sparse representation theory has been increasingly used in the fields of signal processing and machine learning. The standard sparse models are not invariant to spatial transform...
Complex designs can only be understood, if the underlying information is provided in a concise way. In this context visualization is becoming an essential part of system design, u...
Christian Genz, Rolf Drechsler, Gerhard Angst, Lot...
One of the factors that can make a program di cult to understand is that code responsible for accomplishing more than one purpose may be woven together in a single section. We cal...
Smart Cameras are becoming more popular in Intelligent Surveillance Systems area. Recognizing faces in a crowd in real-time is a key features which would significantly enhance Int...
Yasir Mohd-Mustafah, Ting Shan, Amelia W. Azman, A...
Named Entity Recognition is a relatively well-understood NLP task, with many publicly available training resources and software for English. Other languages tend to be underserved...