Germán Capdehourat

Learn More
In this paper we propose a machine learning approach to classify melanocytic lesions as malignant or benign, using dermoscopic images. The lesion features used in the classification framework are inspired on border, texture, color and structures used in popular dermoscopy algorithms performed by clinicians by visual inspection. The main weakness of(More)
We developed an EBGM-based algorithm that successfully implements face recognition under constrained conditions. A suitable adaptation of the Gabor filters was found through a power spectral analisys (PSD) of the face images. We outperformed the best-known implementations of the EBGM algorithm in the FERET database. The results are comparable with those of(More)
In this paper we propose a machine learning approach to classify melanocytic lesions in malignant and benign from dermatoscopic images. The image database is composed of 433 benign lesions and 80 malignant melanoma. After an image pre-processing stage that includes hair removal filtering, each image is automatically segmented using well known image(More)
Wireless Mesh Networks (WMNS) have emerged in the last years as a cost-efficient alternative to traditional wired access networks. In order to fully exploit the intrinsically scarce resources WMNS possess, the use of dynamic routing has been proposed. We argue instead in favour of separating routing from forwarding (i.e. à la MPLS) and implementing a(More)
In wireless networks, the physical medium is the cause of most of the errors and performance drops. Thus, an efficient predictive estimation of wireless networks performance w.r.t. medium status by the communication peers would be a leap ahead in the improvement of wireless communication. For that purpose, we designed a measurement bench that allows us to(More)
We present a biometric system performing both, verification and identification, implementing automatic face recognition. The algorithm is based on Elastic Bunch Graph Matching [1]. EBGM is a technique that uses local information extracted with Gabor filters for discrimination. CSU implementation [2] was used as the main reference of this work. The results(More)
In recent years we have seen the success of wireless communications in unlicensed frequency bands, mainly driven by the 802.11 standard. The clear trend in the growth of traffic demand suggest that spectrum scarcity will be a serious threat to reach the capacity needs in the near future. Looking for more available spectrum, regulators have already begun to(More)
Over the last years the 1:1 educational model has been gaining importance within different regions of the world. In this respect, the Uruguayan Plan Ceibal has been a pioneer, beginning its deployment in 2007 and being the only one so far with national scope. Within this context, the present work describes the wireless network deployed by Plan Ceibal. The(More)