— Map learning is a fundamental task in mobile robotics because maps are required for a series of high level applications. In this paper, we address the problem of building maps ...
Patrick Pfaff, Rudolph Triebel, Cyrill Stachniss, ...
The main goal to be answered by this Ph.D. thesis is whether there is a potential for a successful and powerful application of agile methods and related techniques to embedded syst...
In Sequential Viterbi Models, such as HMMs, MEMMs, and Linear Chain CRFs, the type of patterns over output sequences that can be learned by the model depend directly on the modelâ...
Background: Microarray co-expression signatures are an important tool for studying gene function and relations between genes. In addition to genuine biological co-expression, corr...
In this paper, we propose micro-climate sensing as an effective means of enhancing conventional RF-based localization. Our system targets people tracking applications in dynamic i...