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AUTOMATICA
2005
155views more  AUTOMATICA 2005»
13 years 7 months ago
Identification of MIMO Hammerstein models using least squares support vector machines
This paper studies a method for the identification of Hammerstein models based on Least Squares Support Vector Machines (LS-SVMs). The technique allows for the determination of th...
Ivan Goethals, Kristiaan Pelckmans, Johan A. K. Su...
INFOCOM
2010
IEEE
13 years 5 months ago
Efficient Tag Identification in Mobile RFID Systems
In this paper we consider how to efficiently identify tags on the moving conveyor. Considering conditions like the path loss and multi-path effect in realistic settings, we first p...
Lei Xie, Bo Sheng, Chiu Chiang Tan, Hao Han, Qun L...
BMCBI
2005
98views more  BMCBI 2005»
13 years 7 months ago
Iterative approach to model identification of biological networks
Background: Recent advances in molecular biology techniques provide an opportunity for developing detailed mathematical models of biological processes. An iterative scheme is intr...
Kapil G. Gadkar, Rudiyanto Gunawan, Francis J. Doy...
CHI
2006
ACM
14 years 7 months ago
Tactile crescendos and sforzandos: applying musical techniques to tactile icon design
Tactile icons (Tactons) are structured vibrotactile messages which can be used for non visual information display. Information is encoded in Tactons by manipulating vibrotactile p...
Lorna M. Brown, Stephen A. Brewster, Helen C. Purc...
ESANN
2001
13 years 8 months ago
A divide-and-conquer learning architecture for predicting unknown motion
Time varying environments or model selection problems lead to crucial dilemmas in identification and control science. In this paper, we propose a modular prediction scheme consisti...
Patrice Wira, Jean-Philippe Urban, Julien Gresser