Diffusion tensor imaging has accelerated the study of brain connectivity, but single-tensor diffusion models are too simplistic to model fiber crossing and mixing. Hybrid diffusio...
Liang Zhan, Alex D. Leow, Iman Aganj, Christophe L...
Similarity search in time series data is required in many application fields. The most prominent work has focused on similarity search considering either complete time series or si...
This paper presents a novel placement algorithm for timing optimization based on a new and powerful concept, which we term differential timing analysis. Recognizing that accurate ...
Amit Chowdhary, Karthik Rajagopal, Satish Venkates...
ion for Parametric Time-Interval Automata Akio Nakata, Tadaaki Tanimoto, Suguru Sasaki, Teruo Higashino Department of Information Networking, Graduate School of Information Science...
Time series are an important type of data with applications in virtually every aspect of the real world. Often a large number of time series have to be monitored and analyzed in p...
Ming C. Hao, Umeshwar Dayal, Daniel A. Keim, Tobia...