In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
This work describes how evolutionary computation can be used to synthesize lowlevel image operators that detect interesting points on digital images. Interest point detection is a...
Accurately predicting program behaviors (e.g., locality, dependency, method calling frequency) is fundamental for program optimizations and runtime adaptations. Despite decades of...
Kai Tian, Yunlian Jiang, Eddy Z. Zhang, Xipeng She...
This paper proposes an immune concentration based virus detection approach which utilizes a two-element concentration vector to construct the feature. In this approach, ‘self’ ...
We propose a Progressive Email Classifier (PEC) for highspeed classification of message patterns that are commonly associated with unsolicited bulk email (UNBE). PEC is designed t...