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AUTOMATICA
2007
95views more  AUTOMATICA 2007»
13 years 7 months ago
Unbiased minimum-variance input and state estimation for linear discrete-time systems with direct feedthrough
This paper extends previous work on joint input and state estimation to systems with direct feedthrough of the unknown input to the output. Using linear minimum-variance unbiased ...
Steven Gillijns, Bart De Moor
DM
1999
62views more  DM 1999»
13 years 7 months ago
Directed animals, forests and permutations
In this paper, we illustrate a method to enumerate two-dimensional directed animals, with compact sources, on both the square and the triangular lattice. We give a recursive descr...
Elena Barcucci, Alberto Del Lungo, Elisa Pergola, ...
ICPR
2006
IEEE
14 years 8 months ago
Object Localization Using Input/Output Recursive Neural Networks
Localizing objects in images is a difficult task and represents the first step to the solution of the object recognition problem. This paper presents a novel approach to the local...
Lorenzo Sarti, Marco Maggini, Monica Bianchini
IJCNN
2007
IEEE
14 years 1 months ago
Risk Assessment Algorithms Based on Recursive Neural Networks
— The assessment of highly-risky situations at road intersections have been recently revealed as an important research topic within the context of the automotive industry. In thi...
Alejandro Chinea Manrique De Lara, Michel Parent
FSMNLP
2005
Springer
14 years 1 months ago
Parsing with Lexicalized Probabilistic Recursive Transition Networks
Abstract. We present a formalization of lexicalized Recursive Transition Networks which we call Automaton-Based Generative Dependency Grammar (gdg). We show how to extract a gdg fr...
Alexis Nasr, Owen Rambow