In many vision problems, rotation-invariant analysis is necessary or preferred. Popular solutions are mainly based on pose normalization or brute-force learning, neglecting the in...
Kun Liu, Qing Wang, Wolfgang Driever, Olaf Ronnebe...
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
Applications that operate in highly dynamic environments must deal with real-time changes of circumstances in order to be consistent and coherent. In this work, we propose an exten...
As the number of integrated IP cores in the current System-on-Chips (SoCs) keeps increasing, communication requirements among cores can not be sufficiently satisfied using either ...
Jun Ho Bahn, Seung Eun Lee, Yoon Seok Yang, Jungso...
This study presents a practical solution for data collection and restoration to migrate a process written in high level stack-based languages such as C and Fortran over a network ...