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SIAMCO
2002
86views more  SIAMCO 2002»
13 years 9 months ago
On the Observability and Detectability of Continuous-Time Markov Jump Linear Systems
The paper introduces a new detectability concept for continuous-time Markov jump linear systems with finite Markov space that generalizes previous concepts found in the literature....
Eduardo F. Costa, João Bosco Ribeiro do Val
TII
2010
113views Education» more  TII 2010»
13 years 4 months ago
An Automated Framework for Formal Verification of Timed Continuous Petri Nets
In this paper, we develop an automated framework for formal verification of timed continuous Petri nets (ContPNs). Specifically, we consider two problems: (1) given an initial set ...
Marius Kloetzer, Cristian Mahulea, Calin Belta, Ma...
CVPR
2012
IEEE
12 years 15 days ago
Boosting algorithms for simultaneous feature extraction and selection
The problem of simultaneous feature extraction and selection, for classifier design, is considered. A new framework is proposed, based on boosting algorithms that can either 1) s...
Mohammad J. Saberian, Nuno Vasconcelos
CVPR
2009
IEEE
15 years 5 months ago
Volterrafaces: Discriminant Analysis using Volterra Kernels
In this paper we present a novel face classification system where we represent face images as a spatial arrangement of image patches, and seek a smooth non-linear functional map...
Ritwik Kumar, Arunava Banerjee, Baba C. Vemuri
IJCNN
2006
IEEE
14 years 4 months ago
Adaptation of Artificial Neural Networks Avoiding Catastrophic Forgetting
— In connectionist learning, one relevant problem is “catastrophic forgetting” that may occur when a network, trained with a large set of patterns, has to learn new input pat...
Dario Albesano, Roberto Gemello, Pietro Laface, Fr...