It is challenging to track multiple facial features simultaneously when rich expressions are presented on a face. We propose a twostep solution. In the first step, several independent condensation-style particle filters are utilized to track each facial feature in the temporal domain. Particle filters are very effective for visual tracking problems; however multiple independent trackers ignore ...

Background: The assessment of molecular similarity is a key step in the drug discovery process that has thus far relied almost exclusively on computational approaches. We now report an experimental method for similarity assessment based on dynamic combinatorial chemistry. Results: In order to assess molecular similarity directly in solution, a dynamic molecular network was used in a twostep pro...

In recent years AIDS researchers have shown great interest in the study of HIV viral dynamics. Nonlinear mixed-effect models (NLME) have been proposed for modeling the intraand inter-patients variations. The inter-patients variation often receives great attention and may be partially explained by time-varying covariates such as CD4 cell counts. Statistical analyses in these studies are complica...

Bayesian or Maximum a posteriori (MAP) approaches can effectively overcome the ill-posed problems of image restoration or deconvolution through incorporating a priori image information. Many restoration methods, such as nonquadratic prior Bayesian restoration and total variation regularization, have been proposed with edge-preserving and noise-removing properties. However, these methods are oft...

We present a method of prioritizing potential drug targets based on their gene expression “signature”. Primary human pre-cursor neuronal cells were treated with three classes (antidepressant, antipsychotic, opiod receptor agonist) of psychoactive drugs for 24 hours. Microarray technology was used to capture expression of ~11, 000 genes induced by these three categories of drugs. It was demonstr...

Cardiovascular lesions are the world’s leading cause of mortality. Early detection of these diseases using less invasive techniques provides better therapeutic outcome, as well as reduces costs and risks, compared to an interventionist approach. In this work we propose a twostep severe cardiac stenoses detection approach. First we used the geometric model of the stenosis to detect suspicious ar...

The Dynamic Airspace Configuration (DAC) concept requires strategically organizing and efficiently allocating airspace. In the current National Airspace System (NAS), sector boundaries have been developed heuristically over decades in light of historical data and analysis. In our previous efforts, a graph model based on air route structure was developed to model the en-route airspace over the U...

The approach used in this paper is an implementation of a data mining process against real-life transactions of debit cards with the aim of detecting suspicious behavior. The framework designed for this purpose has been obtained through merging supervised and unsupervised models. First, due to unlabeled data, Twostep and Self-Organizing Map algorithms have been used in clustering the transactio...

This paper reports a comparative experimental evaluation of proportional derivative and adaptive modelbased control for underwater vehicles. To the best of the authors’ knowledge, this is the first such evaluation of modelbased adaptive tracking control for underwater vehicles during simultaneous dynamic motion in all 6 degrees-of-freedom. This experimental evaluation revealed the presence of u...

This paper describes LIMSI’s participation to the first shared task on Native Language Identification. Our submission uses a Maximum Entropy classifier, using as features character and chunk n-grams, spelling and grammatical mistakes, and lexical preferences. Performance was slightly improved by using a twostep classifier to better distinguish otherwise easily confused native languages.