We discuss the relationship between the discriminative training of Gaussian models and the maximum entropy framework for log-linear models. Observing that linear transforms leave ...
This paper addresses the problem of object tracking in image sequences. The approach taken is based upon adaptive statistical models. An object selected in a frame by a user is tr...
We present a data-driven approach to predict the importance of edges and construct a Markov network for image analysis based on statistical models of global and local image feature...
The selection process is a crucial activity of the development of COTS-based systems. A key step of the evaluation of COTS components carried out during selection is the matching b...
Carina Alves, Xavier Franch, Juan Pablo Carvallo, ...
Abstract. Why an iconic gesture takes its particular form is a largely open question, given the variations one finds across both situations and speakers. We present results of an e...