In this technical report we present a data set which can be used by researchers to test and compare their algorithms related to feature-based SLAM and in particular data association tasks. The data set covers a large path mostly through an indoor office environment with artificial and natural landmarks. It provides odometry and geometrical results from computer vision-based landmark detection, ...

Multiple target tracking (MTT) is taken into account as one of the most important topics in tracking targets with radars. In this paper, the MTT problem is used for estimating the position of multiple targets when a 2-D radar is employed to gather measurements. To do so, the Joint Probabilistic Data Association Filter (JPDAF) approach is applied to tracking the position of multiple targets. To ...

Performance   evaluation in regular periods is one of the ways in which organizations can   evaluate their performance as well as weak and strong points unifiedly and   precisely. These days, mathematical models are also used to evaluate the   efficiency and productivity of various units. These units are a collection of   education, research and service activities as input and output factors an...

Frequent itemset mining over dynamic data is an important problem in the context of data mining. The two main factors of data stream mining algorithm are memory usage and runtime, since they are limited resources. Mining frequent pattern in data streams, like traditional database and many other types of databases, has been studied popularly in data mining research. Many applications like stock ...

The problem of recovering missing values from a dataset has become an important research issue in the field of data mining and machine learning. In this thesis, we introduce an iterative missing-value completion method based on the RAR (Robust Association Rules) support values to extract useful association rules for inferring missing values in an iterative way. It consists of three phases. The ...