نتایج جستجو برای: changing weight functions

تعداد نتایج: 964413  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه پیام نور - دانشگاه پیام نور استان تهران - دانشکده زیست شناسی 1388

abstract chickpea is weak in competition of weeds that damages to it at between 40 t0 60 percent. kermanshah province is one of the most important region for chickpea fields in iran. for these reosons, weed management is necessary in this crop. in order to evaluate of herbicides and stubble control on broad leave weeds control in chickpea. experiment was conducted in agricultural research stat...

2013
Dongming Chen Mohsen Ardabilian Liming Chen

The performance of local stereo matching algorithm highly depends on the support window selected, in which the cost are aggregated. A variety of cost aggregation approaches (proposed before 2008) were comprehensively analyzed in [7] and these approaches attempt to seek an optimal support window for each pixel by changing the window size, shape and center offset. The ideal optimal window should ...

1999
Jay A. Wood

An extension theorem for general weight functions is proved over nite chain rings. The structure of the complex semigroup ring associated to the multiplicative semigroup of the ring plays a prominent role in the proof. 1. Background In her doctoral dissertation, MacWilliams 7], 8] proved an equivalence theorem: two linear codes C 1 ; C 2 F n deened over a nite eld F are equivalent up to monomia...

2006
James Gorman James R. Curran

Random Indexing is a vector space technique that provides an efficient and scalable approximation to distributional similarity problems. We present experiments showing Random Indexing to be poor at handling large volumes of data and evaluate the use of weighting functions for improving the performance of Random Indexing. We find that Random Index is robust for small data sets, but performance d...

Journal: :Proceedings of the National Academy of Sciences of the United States of America 2017
Daan Frenkel K Julian Schrenk Stefano Martiniani

Conventional Monte Carlo simulations are stochastic in the sense that the acceptance of a trial move is decided by comparing a computed acceptance probability with a random number, uniformly distributed between 0 and 1. Here, we consider the case that the weight determining the acceptance probability itself is fluctuating. This situation is common in many numerical studies. We show that it is p...

2005
Isao Sasano Mizuhito Ogawa Zhenjiang Hu

We present a new derivation of efficient algorithms for a class of optimization problems called maximum marking problems. We extend the class of weight functions used in the specification to allow for weight functions with accumulation, which is particularly useful when the weight of each element depends on adjacent elements. This extension of weight functions enables us to treat more interesti...

Journal: :Eur. J. Comb. 2002
Giampiero Chiaselotti

Let X be a finite set with n elements. A function f : X −→ R such that ∑ x∈X f (x) ≥ 0 is called a n-weight function. In 1988 Manickam and Singhi conjectured that, if d is a positive integer and f is a n-weight function with n ≥ 4d there exist at least (n−1 d−1 ) subsets Y of X with |Y | = d for which ∑ y∈Y f (y) ≥ 0. In this paper we study this conjecture and we show that it is true if f is a ...

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