Hybrid generative-discriminative techniques and, in particular, generative score-space classification methods have proven to be valuable approaches in tackling difficult object or...
Alessandro Perina, Marco Cristani, Umberto Castell...
We present a hierarchical architecture and learning algorithm for visual recognition and other visual inference tasks such as imagination, reconstruction of occluded images, and e...
We propose a highly efficient framework for penalized likelihood kernel methods applied to multiclass models with a large, structured set of classes. As opposed to many previous a...
- This paper presents a neurologically inspired vergence control model that uses the optimization of the disparity error between interlaced cortical maps incident on the visual cor...
In this paper, we present an approach based on hierarchically structured business models as artifacts of business process modeling that are used in a stepwise acquisition process f...