This paper considers the framework of the so-called "market basket problem", in which a database of transactions is mined for the occurrence of unusually frequent item s...
The mobile robot localization problem is decomposed into two stages attitude estimation followed by position estimation. The innovation of our method is the use of a smoother, in ...
Stergios I. Roumeliotis, Gaurav S. Sukhatme, Georg...
Linear Discriminant Analysis (LDA) is one of the most popular approaches for feature extraction and dimension reduction to overcome the curse of the dimensionality of the high-dime...
Recent smartphones incorporate embedded GPS devices that enable users to obtain geographic information about their surroundings by providing a location-based service (LBS) with the...
Francisco Santos, Mathias Humbert, Reza Shokri, Je...
In this paper, we tackle the problem of top-N context-aware recommendation for implicit feedback scenarios. We frame this challenge as a ranking problem in collaborative filterin...