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» Compositional performance modelling with the TIPPtool
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64
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CANDC
2007
ACM
15 years 2 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
103
Voted
WSC
1998
15 years 2 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
121
Voted
UAI
1996
15 years 2 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 4 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...
96
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GG
2008
Springer
15 years 1 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