We present a new ensemble learning method that employs a set of regional classifiers, each of which learns to handle a subset of the training data. We split the training data and ...
– In this research, we propose to modify and extend epidemic routing used in intermittent networks. In particular, we propose to include immunity-based information disseminated i...
Static code analysis is the analysis of software that is performed to acquire information concerning the dynamic behavior of programs built from that software, without actually ex...
Qianxiang Wang, Na Meng, Zhiyi Zhou, Jinhui Li, Ho...
In this paper, we propose a novel approach which integrates adaptive appearance model and hierarchical estimation mechanism composed of global estimation and local estimation. Hie...
Seok Min Yun, Jin Hee Na, Woo-Sung Kang, Jin Young...
We introduce a new adaptive genetic method for AVT generation, MCM-AVT-Learner. The MCM-AVTLearner imports the mutation and crossover matrices which makes effective use of the fi...
Hyunsung Jo, Yong-chan Na, Byonghwa Oh, Jihoon Yan...