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CDC
2009
IEEE
221views Control Systems» more  CDC 2009»
15 years 2 months ago
Parametrization invariant covariance quantification in identification of transfer functions for linear systems
This paper adresses the variance quantification problem for system identification based on the prediction error framework. The role of input and model class selection for the auto-...
Tzvetan Ivanov, Michel Gevers
CODES
2004
IEEE
15 years 1 months ago
Multi-objective mapping for mesh-based NoC architectures
In this paper we present an approach to multi-objective exploration of the mapping space of a mesh-based network-on-chip architecture. Based on evolutionary computing techniques, ...
Giuseppe Ascia, Vincenzo Catania, Maurizio Palesi
ICMLA
2007
14 years 11 months ago
Uncertainty optimization for robust dynamic optical flow estimation
We develop an optical flow estimation framework that focuses on motion estimation over time formulated in a Dynamic Bayesian Network. It realizes a spatiotemporal integration of ...
Volker Willert, Marc Toussaint, Julian Eggert, Edg...
DMIN
2006
132views Data Mining» more  DMIN 2006»
14 years 11 months ago
An Overview of Associative Classifiers
Abstract-- Associative classification is a new classification approach integrating association mining and classification. It becomes a significant tool for knowledge discovery and ...
Yanmin Sun, Andrew K. C. Wong, Yang Wang 0007
EUSFLAT
2001
116views Fuzzy Logic» more  EUSFLAT 2001»
14 years 11 months ago
Risk assessment in natural disasters with fuzzy probabilities
Risk assessment in regions with low earthquake activity is important for reinsurance companies and governmental building authorities. They need a complete picture of the possible ...
Uwe Wagner