—Outlier mining is a major task in data analysis. Outliers are objects that highly deviate from regular objects in their local neighborhood. Density-based outlier ranking methods...
Abstract: The Eclipse infrastructure for modeling is based on EMF, an implementation of Essential MOF, the OMG standard for metamodeling. A recent addition to EMF has been parametr...
—The learning from observation (LFO) paradigm has been widely applied in various types of robot systems. It helps reduce the work of the programmer. However, the applications of ...
Takuma Morita, Jun Takamatsu, Koichi Ogawara, Hiro...
In this study, a discriminative detector for object context is designed and tested. The context-feature is simple to implement, feed-forward, and effective across multiple object t...
In ranking, one is given examples of order relationships among objects, and the goal is to learn from these examples a real-valued ranking function that induces a ranking or order...