We experimented on task-level robot learning based on bi-directional theory. The via-point representation was used for ‘learning by watching’. In our previous work, we had a r...
Maximum-likelihood decoding is one of the central algorithmic problems in coding theory. It has been known for over 25 years that maximum-likelihood decoding of general linear cod...
Originally, the hierarchical coding structure was proposed to achieve temporal scalability. Soon after, it was realized that with a proper quantization parameter cascading (QPC) s...
By extending the system theory under the (min, +) algebra to the time-varying setting, we solve the problem of constrained traffic regulation and develop a calculus for dynamic ser...
Cheng-Shang Chang, Rene L. Cruz, Jean-Yves Le Boud...
Abstract. Network traffic classification and anomaly detection have received much attention in the last few years. However, due to the the lack of common ground truth, proposed met...
Romain Fontugne, Pierre Borgnat, Patrice Abry, Ken...