نتایج جستجو برای: k distribution

تعداد نتایج: 962370  

Journal: :The Journal of nutrition 1999
A M Huber K W Davidson M E O'Brien-Morse J A Sadowski

Phylloquinone and ten menaquinones (MK-1-MK-10) were measured in liver and eight extrahepatic tissues from male and female rats at 3, 12 and 24 mo of age. Phylloquinone and menaquinones showed characteristic tissue distribution. In liver, all 11 vitamers of vitamin K assayed were present in varying concentrations with phylloquinone and MK-6 the major forms. The only forms of vitamin K found in ...

2001
Ziad BELHADJ

Supervised classification procedures are developed and applied to synthetic aperture radar (SAR) in order to identify their various earth terrain components. An implementation of the maximum a posteriori (MAP) and the maximum likelihood (ML) algorithms are presented. These two techniques need a statistic model for the conditional distribution of the polarimetric complex data. Many previous stud...

2009
Gopalendu Pal Michael F. Modest

The full-spectrum k-distribution (FSK) approach has become a promising method for radiative heat transfer calculations in strongly nongray participating media, due to its ability to achieve high accuracy at a tiny fraction of the line-by-line (LBL) computational cost. However, inhomogeneities in temperature, total pressure, and component mole fractions severely challenge the accuracy of the FSK...

Journal: :CoRR 2009
Rahila Patel Urmila Shrawankar Mukesh M. Raghuwanshi Anil N. Jaiswal

This paper proposes a new scheme for performance enhancement of distributed genetic algorithm (DGA). Initial population is divided in two classes i.e. female and male. Simple distance based clustering is used for cluster formation around females. For reclustering self-adaptive K-means is used, which produces well distributed and well separated clusters. The self-adaptive K-means used for reclus...

Journal: :J. Discrete Algorithms 2004
Koichi Wada Wei Chen

We study the problem of designing fault-tolerant routings with small routing tables for a kconnected network of n processors in the surviving route graph model. The surviving route graph R(G,ρ)/F for a graph G, a routing ρ and a set of faults F is a directed graph consisting of nonfaulty nodes of G with a directed edge from a node x to a node y iff there are no faults on the route from x to y. ...

2013
Sijia Chen Lingjiang Kong Jianyu Yang

This paper mainly deals with the problem of target detection in the presence of Compound-Gaussian (CG) clutter with the Inverse Gaussian (IG) texture and the unknown Power Spectral Density (PSD). The traditional CG distributions, in particular the K distribution and the complex multivariate t distribution, are widely used for modeling the real clutter data from the High-Resolution (HR) radars. ...

Journal: :Fuzzy Sets and Systems 2011
Atefeh Davari Mohammad Hamiruce Marhaban Samsul Bahari Mohd Noor Mohammad Karimadini Ali Karimoddini

The detection performance of maritime radars is restricted by the unwanted sea echo or clutter. Although the number of these target-like data is small, they may cause false alarm and perturb the target detection. K-distribution is known as the best fit probability density function for the radar sea clutter. This paper proposes a novel approach to estimate the parameters of K-distribution, based...

2007
Attilio Gambardella Ferdinando Nunziata Antonio Sorrentino Giuseppe Ferrara Maurizio Migliaccio

In this paper we present a novel approach for the detection of low backscatter areas and areas with strong scatterers in marine SLC SAR images. The approach is based on the use of the three parameters of the generalized K probability density function. This speckle model embodies the Rayleigh scattering scene, which is descriptor of scenes dominated by Bragg scattering, the Rice scattering scene...

2011
Constantinos Daskalakis Ilias Diakonikolas Rocco A. Servedio

A k-modal probability distribution over the domain {1, ..., n} is one whose histogram has at most k “peaks” and “valleys.” Such distributions are natural generalizations of monotone (k = 0) and unimodal (k = 1) probability distributions, which have been intensively studied in probability theory and statistics. In this paper we consider the problem of learning an unknown k-modal distribution. Th...

2012
Constantinos Daskalakis Ilias Diakonikolas Rocco A. Servedio

A k-modal probability distribution over the domain {1, ..., n} is one whose histogram has at most k “peaks” and “valleys.” Such distributions are natural generalizations of monotone (k = 0) and unimodal (k = 1) probability distributions, which have been intensively studied in probability theory and statistics. In this paper we consider the problem of learning an unknown k-modal distribution. Th...

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