The Hidden Markov Model (HMM) has been widely used in many applications such as speech recognition. A common challenge for applying the classical HMM is to determine the structure...
Coping with Information Overload is a major challenge of the 21st century. Huge volumes and varieties of multilingual data must be processed to extract salient information. Previo...
Allen L. Gorin, Carey E. Priebe, John Grothendieck
SRAM-based FPGA devices are an attractive option for data processing on space-based platforms, due to high computational capabilities and a lower power envelope than traditional pr...
The process of finding representative shape patterns from sparse datasets is a challenging task: especially for non-rigid objects, shape deformations through time can produce very...
Stefano Maludrottu, Hany Sallam, Carlo S. Regazzon...
Inline stateful and deep inspection for intrusion prevention is becoming more challenging due to the increase in both the volume of network traffic and the complexity of the analy...