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When traditional sample selection methods are used to compress large data sets, the computational complexity turns out to be very high and it is really time consuming. To avoid these shortcomings, we propose a new method to select samples based on non-stable cut points. With the basic characteristic of convex function that its extreme values occur at the endpoints of intervals, the method measures...
Ordinal decision tree (ODT) can effectively deal with monotonic classification problems. However, it is difficult for the existing ordinal decision tree algorithms to learning ODT from large data sets. Based on the variable consistency dominance based rough set approach (VC-DRSA), an ordinal random forest algorithm is proposed in this paper. Combining with the computing framework of MapReduce, the...
China is the largest producer and consumer of vegetables in the world. Manual indenting and sowing of small vegetable seeds in plug trays is a slow and labor-intensive operation. Therefore, seeding operation of plug trays should be mechanized to increase the capacity of the rapidly expanding nursery industry. A tray precision seeding machine is one of the key devices used in industrialized plug seedling...
This paper is a report on The 8th IEEE/ACM International Workshop on Automation of Software Test (AST 2013) at the 35th International Conference on Software Engineering (ICSE 2013). It sets a special theme on testing-as-a-service (TaaS). Keynote speech and charette discussions are organized around this special theme. Eighteen full research papers and six short papers will be presented in the two-day...
This paper focuses on the development of a test platform for the capture of non-cooperative targets by an autonomous robotic manipulator. The paper describes the platform and subsystems involved in the capture operation with an emphasis on the vision system and controller. The vision system employs a custom algorithm, detecting the target, determining the quality of the lock and predicting the motion...
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