The ever-increasing Linked Data (LD) initiative has given place to open, large amounts of semi-structured and rich data published on the Web. However, effective analytical tools that aid the user in his/her analysis and go beyond browsing and querying are still lacking. To address this issue, we propose the automatic generation of multidimensional analytical stars (MDAS). The success of the mul...

In this dissertation, coupled resonator optical waveguides are analyzed and a new analytical model to study their spectral properties is developed. Coupled mode theory and plane wave expansion are employed in order to study the spectral properties of CROWs and a new semi-analytical model is derived. This semi-analytical model is used for the derivation of an analytical solution for the device’s...

Abstmct -The focus of this paper is semi-supervised learning in the context of pattern recognition. Semi-supervised learning (SSL) refers to the semi-supervised construction of clusters during the training phase of exemplar-based classifiers. Using artificially generated data sets we present experimental results of classifiers that follow the SSL paradigm and we show that, especially for diffic...

Although one can find several pattern recognition techniques out there, there is still room for improvements and new approaches. In this book chapter, we revisited the Optimum-Path Forest (OPF) classifier, which has been evaluated over the last years in a number of applications that consider supervised, semi-supervised and unsupervised learning problems. We also presented a brief compilation of...

A novel simulation-based semi-formal verification method for sequential circuits described at the register-transfer level is presented. The method consists of an iterative loop where coverage analysis guides input pattern generation. An observability-based coverage metric is used to identify portions of the circuit that are not adequately exercised during simulation. A heuristic algorithm then ...

We present a simulation-based semi-formal verification method for sequential circuits described at the registertransfer level. The method consists of an iterative loop where coverage analysis guides input pattern generation. An observability-based coverage metric is used to identify portions of the circuit not exercised by simulation. A heuristic algorithm then selects probability distributions...

This paper investigates the internal tidal energy distribution in the southwestern Japan/East Sea using vertical round-trip travel time (τ) data from 23 pressure-sensor-equipped inverted echo sounders (PIESs). The τ records are analyzed by band-pass filtering to separate time-dependent variability of the semi-diurnal and diurnal bands. The semi-diurnal internal tides exhibit a horizontal beam p...

The lack of a critical mass of actually deployed web services, semantic or not, is an important hurdle for the advancement and further innovation in web service technologies. In this paper we introduce Federica, a platform for semi-automatic generation and implementation of semantic web services by exploiting existing web applications published in internet. Federica generates semantically enric...

A major challenge in pattern recognition is labeling of large numbers of samples. This problem has been solved by extending supervised learning to semi-supervised learning. Thus semi-supervised learning has become one of the most important methods on the research of facial expression recognition. Frontal and un-occluded face images have been well recognized using traditional facial expression r...

We introduce a data model for semi-structured data and explore a spatial logic for reasoning about this model. This note is part of an on-going project to develop a pattern-matching language for analysing and manipulating semi-structured data. This work was first reported in Appsem 2001 and the session on spatial logic at MFPS 2002.