Every musician who improvises has a unique musical vocabulary, which may be perceived in his or her compositions. In this paper, we explain our design of a computational model tha...
ating Structures is a system abstraction that helps to model large-scale distributed systems, whose performance mostly depends on how well the data and messages traffic is organiz...
This paper presents a Bayesian approach to learning the connectivity structure of a group of neurons from data on configuration frequencies. A major objective of the research is t...
Visual tracking is a key component in many computer vision applications. Linear subspace techniques (e.g. eigentracking) are one of the most popular approaches to align templates ...
Jose Gonzalez-Mora, Nicolas Guil, Emilio L. Zapata...
We present a new, high-level approach for the specification of model-to-model transformations based on declarative patterns. These are (atomic or composite) constraints on triple ...