Rodolfo Gomez is currently a PhD student 1 in the Computing Laboratory at Kent. In 2000, he joined the realtime systems research group at Universidad Nacional del Sur (Argentina), where he worked until 2002 on temporal and active databases and temporal query languages. This research (in collaboration, among others, with Dr. Juan Augusto at University of Ulster and Dr. Antony Galton at Universit...

In recursive linear models, the multivariate normal joint distribution of all variables exhibits a dependence structure induced by recursive systems of linear structural equations. Such models appear in particular in seemingly unrelated regressions, structural equation modelling, simultaneous equation systems, and in Gaussian graphical modelling. We show that recursive linear models that are ‘b...

A jet is simulated on the background of a galactic wind headed by a radiative bow shock. The wind shell, which is due to the radiative bow shock, is effectively destroyed by the impact of the jet cocoon, thanks to Rayleigh-Taylor instabilities. Associated strong HI absorption, and possibly also molecular emission, in high redshift radio galaxies which is observed preferentially in the smaller o...

This paper presents a novel semantic regularized matrix factorization method for learning descriptive visual bag-of-words (BOW) representation. Although very influential in image classification, the traditional visual BOW representation has one distinct drawback. That is, for efficiency purposes, this visual representation is often generated by directly clustering the low-level visual feature v...

This paper presents a virtual violin for real-time performances consisting of two modules: a violin spectral model and a control interface. The interface is composed by a sensing bow and a tube with drawn strings in substitution of a real violin. The spectral model is driven by the bowing controls captured with the control interface and it is able to predict spectral envelopes of the sound corr...

The recognition of events in videos is a relevant and challenging task of automatic semantic video analysis. At present one of the most successful frameworks, used for object recognition tasks, is the bag-ofwords (BoW) approach. However this approach does not model the temporal information of the video stream. In this paper we present a method to introduce temporal information within the BoW ap...

The control of musical instrument physical models is difficult; it takes many years for professional musicians to learn their craft. We perform intelligent control of a violin physical model by analyzing the audio output and adjusting the physical inputs to the system using trained Support Vector Machines (SVM). Vivi, the virtual violinist is a computer program which can perform music notation ...

In many classification problems, the input is represented as a set of features, e.g., the bag-of-words (BoW) representation of documents. Support vector machines (SVMs) are widely used tools for such classification problems. The performance of the SVMs is generally determined by whether kernel values between data points can be defined properly. However, SVMs for BoW representations have a major...