Workflows are widely used for representing business processes, web services, scientific experiments, and activities in daily life, like recipes. There is an increasing need for peo...
We describe a new invariant-based data model for image databases under our approach for shape-based retrieval. The data model relies on contours description of the image shape, an...
Legacy systems are often large and difficult to maintain, but rewriting them from scratch is usually not a viable option. Reenginering remains the only way to modernize them. We ...
Mariano Ceccato, Paolo Tonella, Cristina Matteotti
: Dimensionality reduction methods (DRs) have commonly been used as a principled way to understand the high-dimensional data such as face images. In this paper, we propose a new un...
We present a novel method for the discovery and detection of visual object categories based on decompositions using topic models. The approach is capable of learning a compact and...