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The Dantzig selector: statistical estimation when p is much larger than n
, 2005
"... In many important statistical applications, the number of variables or parameters p is much larger than the number of observations n. Suppose then that we have observations y = Ax + z, where x ∈ R p is a parameter vector of interest, A is a data matrix with possibly far fewer rows than columns, n ≪ ..."
Abstract

Cited by 860 (14 self)
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In many important statistical applications, the number of variables or parameters p is much larger than the number of observations n. Suppose then that we have observations y = Ax + z, where x ∈ R p is a parameter vector of interest, A is a data matrix with possibly far fewer rows than columns, n
‖Ax‖p
"... We consider the problem of computing the q ↦ → p norm of a matrix A, which is defined for p,q ≥ 1, as ‖A‖q↦→p = max x̸=⃗0 ..."
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We consider the problem of computing the q ↦ → p norm of a matrix A, which is defined for p,q ≥ 1, as ‖A‖q↦→p = max x̸=⃗0
‖Ax‖p
"... We consider the problem of computing the q ↦→p norm of a matrix A, which is defined for p, q ≥ 1, as ..."
Abstract
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We consider the problem of computing the q ↦→p norm of a matrix A, which is defined for p, q ≥ 1, as
y ax
"... he ish sti independently associated with angle closure [5]. An increased LV indicates an increased lens thickness and/or OCT scans, two novel biometric parameters: the anterior vault (AV), which represents the sum of the LV and the Kim et al. BMC Ophthalmology 2014, 14:93 ..."
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he ish sti independently associated with angle closure [5]. An increased LV indicates an increased lens thickness and/or OCT scans, two novel biometric parameters: the anterior vault (AV), which represents the sum of the LV and the Kim et al. BMC Ophthalmology 2014, 14:93
Neurofuzzy modeling and control
 IEEE Proceedings
, 1995
"... Abstract  Fundamental and advanced developments in neurofuzzy synergisms for modeling and control are reviewed. The essential part of neurofuzzy synergisms comes from a common framework called adaptive networks, which uni es both neural networks and fuzzy models. The fuzzy models under the framew ..."
Abstract

Cited by 231 (1 self)
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Abstract  Fundamental and advanced developments in neurofuzzy synergisms for modeling and control are reviewed. The essential part of neurofuzzy synergisms comes from a common framework called adaptive networks, which uni es both neural networks and fuzzy models. The fuzzy models under the framework of adaptive networks is called ANFIS (AdaptiveNetworkbased Fuzzy Inference System), which possess certain advantages over neural networks. We introduce the design methods for ANFIS in both modeling and control applications. Current problems and future directions for neurofuzzy approaches are also addressed. KeywordsFuzzy logic, neural networks, fuzzy modeling, neurofuzzy modeling, neurofuzzy control, ANFIS. I.
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"... This thesis will show in theory and in practice how to implement a 3D reconstruction algorithm. It is possible, using only images as input and allowing general camera motion and varying camera parameters, to reconstruct a scene up to an unknown scale factor. Feature extraction and matching, epipolar ..."
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This thesis will show in theory and in practice how to implement a 3D reconstruction algorithm. It is possible, using only images as input and allowing general camera motion and varying camera parameters, to reconstruct a scene up to an unknown scale factor. Feature extraction and matching, epipolar configuration (fundamental matrix), projective reconstruction and selfcalibration are the main topics, stressing selfcalibration. We discovered that the method for selfcalibration we have implemented (see [5]), is not robust enough for real images. However, we will present results for synthetic images, where the algorithm performs well. We will also briefly discuss other methods for image based modeling and rendering. Sammanfattning Denna rapport beskriver i teorin och i praktiken hur man kan implementera en algoritm för 3D rekonstruktion. Det är möjligt att ˚aterskapa en scen upp till en okänd skalfaktor, utg˚aendes enbart fr˚an bilder tagna fr˚an godtyckliga kamerapositioner och med varierande kameraparametrar. Extrahering och matchning av featurepunkter, epipolar konfiguration (fundamentalmatris), projektiv rekonstruktion och automatisk kalibrering är de huvudsakliga delarna, med automatisk kalibrering som tyngdpunkt. V˚ara tester visar, att den metod vi använt för automatisk kalibrering av kamerorna (se [5]), inte är stabil nog för riktiga bilder, tagna med riktiga kameror. Vi kommer dock att presentera resultat för syntetiska bilder, där algoritmen uppför sig bra. Vi kommer ocks˚a kortfattat beskriva andra metoder för bildbaserad modellering och rendering.
Coordinator:
"... The Eurasian Development Bank is an international financial institution established to promote economic growth and integration processes in Eurasia. The Bank was founded by the intergovernmental agreement signed in January 2006 by the Russian Federation and the Republic ..."
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The Eurasian Development Bank is an international financial institution established to promote economic growth and integration processes in Eurasia. The Bank was founded by the intergovernmental agreement signed in January 2006 by the Russian Federation and the Republic
Results 1  10
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164,289