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» Statistical signal processing approaches to fault detection
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ICASSP
2011
IEEE
12 years 11 months ago
Identification of MISO nonlinear systems via the semiparametric approach
In this paper we examine a class of multiple-input, singleoutput (MISO) nonlinear systems of the block-oriented structure. In particular, we focus on MISO Hammerstein systems bein...
Jiaqing Lv, Miroslaw Pawlak
JCIT
2010
156views more  JCIT 2010»
13 years 2 months ago
Intelligent Monitoring Approach for Pipeline Defect Detection from MFL Inspection
Artificial Neural Networks(ANNS) have top level of capability to progress the estimation of cracks in metal tubes. The aim of this paper is to propose an algorithm to identify mod...
Saeedreza Ehteram, Seyed Zeinolabedin Moussavi, Mo...
BMCBI
2007
135views more  BMCBI 2007»
13 years 8 months ago
LIMPIC: a computational method for the separation of protein MALDI-TOF-MS signals from noise
Background: Mass spectrometry protein profiling is a promising tool for biomarker discovery in clinical proteomics. However, the development of a reliable approach for the separat...
Dante Mantini, Francesca Petrucci, Damiana Pierago...
DAGM
2010
Springer
13 years 9 months ago
Image Segmentation with a Statistical Appearance Model and a Generic Mumford-Shah Inspired Outside Model
Abstract. We present a novel statistical-model-based segmentation algorithm that addresses a recurrent problem in appearance model fitting and model-based segmentation: the "s...
Thomas Albrecht, Thomas Vetter
ISBI
2009
IEEE
14 years 2 months ago
A Non-Parametric Approach to Automatic Change Detection in MRI Images of the Brain
We present a novel approach to change detection between two brain MRI scans (reference and target.) The proposed method uses a single modality to find subtle changes; and does no...
Hae Jong Seo, Peyman Milanfar