نتایج جستجو برای: 1 data and image texture features and boosted tree classifiers

تعداد نتایج: 17523024  

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

on- the-job training on of the most effective tools for managers to cope with the changing organizational environment. it grantess suitable services to customers, particularly in public service enterprises. if such training os goal oriented, planned systematically, and tailored to the employees, job content, then not only it could increase employees and organizational performance, but also it c...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه پیام نور - دانشگاه پیام نور استان تهران - پژوهشکده علوم انسانی و اجتماعی 1390

this study attempts to investigate the effect of peers’ revision in comparison to that of the teacher, and whether peers’ comments and teachers’ comments facilitate students’ revision? if yes, which one is more effective? also attempts have been made to see which aspects of language are more highlighted by peers versus teachers when commenting. besides, it is investigating the student’s attitud...

2005
A. Djouak K. Djemal H. Maaref

This work propose a method of heterogeneous image retrieval based on a combination of features vectors. The features extraction results from image segmentation, color histograms and texture which based on wavelet transform. Three classifiers were tested and the results are highlighted with a real improvement at the level of the relation between accuracy and computing times.

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه تربیت مدرس - دانشکده علوم انسانی 1389

there are two major theories of measurement in psychometrics: classical test theory (ctt) and item-response theory (irt). despite its widespread and long use, ctt has a number of shortcomings, which make it problematic to be used for practical and theoretical purposes. irt tries to solve these shortcomings, and provide better and more dependable answers. one of the applications of irt is the as...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه فردوسی مشهد - دانشکده ادبیات و علوم انسانی دکتر علی شریعتی 1392

the issue of curriculum and syllabus evaluation and revision has been in center of attention right from when curriculum came into attention of educational institutions. thus everywhere in the world in educational institutions curricula and syllabi are evaluated and revised based on the goals, the needs, existing content, etc.. in iran any curriculum is designed in a committee of specialists and...

Journal: :سنجش از دور و gis ایران 0
رضا حسینخانی دانشگاه خواجه نصیرالدین طوسی محمودرضا صاحبی دانشگاه خواجه نصیرالدین طوسی حمید عبادی دانشگاه خواجه نصیرالدین طوسی

remote sensing can be used as a powerful tool by using data from different sources and combine them for vegetation and land cover classification. pasture type classification provides key information for analysis of agricultural productivity, carbon accounting and biodiversity. the first data set that used in this study landsat tm (thematic mapper) optical image and the second envisat asar radar...

Journal: :IEEE Transactions on Pattern Analysis and Machine Intelligence 1997

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه سیستان و بلوچستان - دانشکده مهندسی عمران 1391

today, scouring is one of the important topics in the river and coastal engineering so that the most destruction in the bridges is occurred due to this phenomenon. whereas the bridges are assumed as the most important connecting structures in the communications roads in the country and their importance is doubled while floodwater, thus exact design and maintenance thereof is very crucial. f...

2014
Camille Monnier Stan German Andrey Ost

We present an approach to detecting and recognizing gestures in a stream of multi-modal data. Our approach combines a slidingwindow gesture detector with features drawn from skeleton data, color imagery, and depth data produced by a first-generation Kinect sensor. The detector consists of a set of one-versus-all boosted classifiers, each tuned to a specific gesture. Features are extracted at mu...

Journal: :Algorithms 2009
Dmitry Zinovev Daniela Stan Raicu Jacob D. Furst Samuel G. Armato

This paper uses an ensemble of classifiers and active learning strategies to predict radiologists’ assessment of the nodules of the Lung Image Database Consortium (LIDC). In particular, the paper presents machine learning classifiers that model agreement among ratings in seven semantic characteristics: spiculation, lobulation, texture, sphericity, margin, subtlety, and malignancy. The ensemble ...

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