The problem of automatic recognition of human activities is among the most important and challenging open areas of research in Computer Vision. This paper presents a new approach ...
Arcangelo Distante, I. Gnoni, Marco Leo, Paolo Spa...
We present a new method for classification with structured
latent variables. Our model is formulated using the
max-margin formalism in the discriminative learning literature.
We...
In this paper a view-independent head tracking system applying an Active Shape Model based particle filter is used to find precise image sections. DCTmod2 feature sequences are ex...
We propose a new service for building user-defined 3D anatomic structures on the Web. The Web server is connected to a data base storing more than 1000 3D anatomic models reconstr...
Classification algorithms and document representation approaches are two key elements for a successful document classification system. In the past, much work has been conducted to...