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» Compositional performance modelling with the TIPPtool
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CANDC
2007
ACM
14 years 11 months ago
A computational model of the music of Stevie Ray Vaughan
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...
Naresh Vempala, Subrata Dasgupta
WSC
1998
14 years 11 months ago
Communicating Structures for Modeling Large-scale Systems
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...
Vadim E. Kotov
UAI
1996
14 years 11 months ago
Bayesian Learning of Loglinear Models for Neural Connectivity
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...
Kathryn B. Laskey, Laura Martignon
CVPR
2009
IEEE
15 years 1 months ago
Efficient image alignment using linear appearance models
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...
GG
2008
Springer
14 years 10 months ago
Pattern-Based Model-to-Model Transformation
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 ...
Juan de Lara, Esther Guerra