Rafael Ramos-Garijo

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The availability of large amounts of data is a fundamental prerequisite for building handwriting recognition systems. Any system needs a test set of labelled samples for measuring its performance along its development and guiding it. Moreover, there are systems that need additional samples for learning the recognition task they have to cope with later, i.e.(More)
This paper represents work in progress towards a complete system working to assist users in a library. With this aim, the system must be capable to looking for a specific book in a shelf, asked by any user, and whether it is found, deliver it as soon as possible to the user. To get its objectives the system integrates automatic object recognition, visually(More)
New developments on our real-time recognition engine for isolated handwritten characters are presented. This engine is based on approximate Dynamic Time Warping comparisons with prototypes selected by fast, less accurate classification procedures. The error rate it currently obtains on the standard Pendigits task, 0.60%, is significantly lower than both the(More)
– After several years working in different aspects of service robotics with the aim to improve different capabilities, we are currently devoted to a real life specific problem. This consists on the construction of a complete robotic system designed to assist users in a library, namely the UJI (i.e. the acronym of our University) librarian robot. During the(More)
In this paper, a new CBR system for help-desk environments is presented. This CBR system provides intelligent customer support for multiple domains. It is also portable and flexible. The system is implemented as a module of a complete help-desk application to make it as independent as possible of any change in the help-desk system. Each phase of the(More)
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