نتایج جستجو برای: local pattern

تعداد نتایج: 859592  

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه سمنان 1390

امروزه از مهمترین بحث هایی که بخش زیادی از زمان محققین را به خود اختصاص داده است، مباحث مربوط به آب به عنوان حیاتی ترین ماده بقای حیات انسان. تغییر در آب در دسترس می تواند واکنش جدی در پایداری آب زیست محیطی مناطق خشک و نیمه خشک ایجاد کند. لذا یکی از پر کاربردترین مباحث مربوط به هیدرولوژی بررسی هیدروگراف جریان می باشد که امکان مطالعه حجم سیلاب و میزان ذخیره حوزه پس از قطع بارندگی و نیز سهم آب زی...

Khosravi, Mohammadreza, Rezaei Mazyak, Ahmad, Shafieefar, Mehdi,

Understanding the wave pattern as a first step in marine studies is very important. The global models as a source of data can be used to simulate local waves. Before applying them, their results should be evaluated. One of the most important global models is the ECMWF model. Based on the wave simulation in the northern coast of the Persian Gulf, it can be said that the ECMWF model results are o...

Journal: :journal of ai and data mining 2015
r. davarzani s. mozaffari kh. yaghmaie

feature extraction is a main step in all perceptual image hashing schemes in which robust features will led to better results in perceptual robustness. simplicity, discriminative power, computational efficiency and robustness to illumination changes are counted as distinguished properties of local binary pattern features. in this paper, we investigate the use of local binary patterns for percep...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه بیرجند - دانشکده علوم انسانی 1390

in solvo-hydrothermal method, xrd pattern was indicated presence of intermediate of ammonium octatmolybdate and ammonium tetramolybdate, which were changed to stble phase of ?-moo3 annealing. sem images were indicated nanoparticle with semispheical morphology and tem image was demonstrated nanoparticles with a diameter size of 25nm. also in impregnate method. the xrd pattern was shown high crys...

Journal: :SIAM Journal on Optimization 2000
Robert Michael Lewis Virginia Torczon

We extend pattern search methods to linearly constrained minimization. We develop a general class of feasible point pattern search algorithms and prove global convergence to a KarushKuhn-Tucker point. As in the case of unconstrained minimization, pattern search methods for linearly constrained problems accomplish this without explicit recourse to the gradient or the directional derivative of th...

باعقیده, محمد, حمیدیدان, علیرضا, داداشی رودباری, عباسعلی, میوانه, فاطمه,

Background and Objectives: Spatial epidemiology is the description and analysis of geographic variations of diseases with respect to demographic, environmental, behavioral, socioeconomic, genetic, and infectious risk factors. Disease mapping includes a set of statistical techniques that lead to providing clean maps based on estimation of the incidence, prevalence and mortality rates for the use...

2017
Ch. Sudha Sree M. V. P Chandra Sekhara Rao

-Texture classification is a major issue in image analysis and pattern recognition. A number of methods are proposed in the literature including Local Binary Pattern (LBP). The LBP variant (s) plays an active role to extract texture features for texture classification. These are rotation invariant, noise sensitive or noise insensitive mehods. Each method has its own advantages and disadvantages...

 Recognition of spatial patterns of drought plays an important role in monitoring, predicting, confronting, reducing vulnerability, and increasing adaptation to the hazard. The aim of this study is to identify the spatial distribution and analyze the annual, seasonal, and monthly spatial patterns of drought intensities in Iran. For this purpose, drought intensities were extracted from the month...

Journal: :European Journal of Operational Research 2014
Jorge Alberto Soria-Alcaraz Gabriela Ochoa Jerry Swan Juan Martín Carpio Valadez Héctor José Puga Soberanes Edmund K. Burke

Course timetabling is an important and recurring administrative activity in most educational institutions. This article combines a general modeling methodology with effective learning hyper-heuristics to solve this problem. The proposed hyper-heuristics are based on an iterated local search procedure that autonomously combines a set of move operators. Two types of learning for operator selectio...

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