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IJON
2006
89views more  IJON 2006»
13 years 8 months ago
Flexible kernels for RBF networks
In this paper we propose a novel approach for modeling kernels in Radial Basis Function networks. The method provides an extra degree of flexibility to the kernel structure. This ...
André O. Falcão, Thibault Langlois, ...
EMMCVPR
2009
Springer
14 years 3 months ago
Clustering-Based Construction of Hidden Markov Models for Generative Kernels
Generative kernels represent theoretically grounded tools able to increase the capabilities of generative classification through a discriminative setting. Fisher Kernel is the fi...
Manuele Bicego, Marco Cristani, Vittorio Murino, E...
DATE
2010
IEEE
105views Hardware» more  DATE 2010»
14 years 1 months ago
Modeling constructs and kernel for parallel simulation of accuracy adaptive TLMs
Abstract—We present a set of modeling constructs accompanied by a high performance simulation kernel for accuracy adaptive transaction level models. In contrast to traditional, ...
Rauf Salimi Khaligh, Martin Radetzki
GG
2008
Springer
13 years 9 months ago
Formal Analysis of Model Transformations Based on Triple Graph Rules with Kernels
Abstract. Triple graph transformation has become an important approach for model transformations. Triple graphs consist of a source, a target and a connection graph. The correspond...
Hartmut Ehrig, Ulrike Prange
ICCS
2004
Springer
14 years 2 months ago
Karhunen-Loeve Representation of Periodic Second-Order Autoregressive Processes
In dynamic data driven applications modeling accurately the uncertainty of various inputs is a key step of the process. In this paper, we first review the basics of the Karhunen-L...
Didier Lucor, Chau-Hsing Su, George E. Karniadakis