Images of an object undergoing ego- or camera- motion
often appear to be scaled, rotated, and deformed versions
of each other. To detect and match such distorted patterns
to a s...
This work proposes a way to use a-priori knowledge on motion dynamics for markerless human motion capture (MoCap). Specifically, we match tracked motion patterns to training patte...
The problem of finding frequent patterns from graph-based datasets is an important one that finds applications in drug discovery, protein structure analysis, XML querying, and soc...
In previous work [10], we considered algorithms related to the statistics of matches with words and regular expressions in texts generated by Bernoulli or Markov sources. In this w...
i In this paper, we identify the unique challenges in deploying parallelism on TCAM-based pattern matching for Network Intrusion Detection Systems (NIDSes). We resolve two critica...
Kai Zheng, Xin Zhang, Zhiping Cai, Zhijun Wang, Ba...