نتایج جستجو برای: clustering calibration method

تعداد نتایج: 1745240  

2013
Dragan Huterer Carlos E. Cunha Wenjuan Fang

Imperfect photometric calibration of galaxy surveys due to either astrophysical or instrumental effects leads to biases in measuring galaxy clustering and in the resulting cosmological parameter measurements. More interestingly (and disturbingly), the spatially varying calibration also generically leads to violations of statistical isotropy of the galaxy clustering signal. Here we develop, for ...

Journal: :رادار 0
آرمین مقیمی صفا خزایی حمید عبادی

in this research, the framework is presented for unsupervised change detection using multitemporal sar images based on integration clustering and level set methods. spatial correlation between pixels were considered by using contextual information. also as proposed method was used integration of gustafson-kessel clustering techniques (gkc) and level set methods for change detection. using clust...

Journal: :مرتع و آبخیزداری 0
بهارک معتمدوزیری حسن احمدی محمد مهدوی فرود شریفی نصرا... جواهری

estimation of river sediment load is one of the most important issues in design of hydraulic structures, investigating water quality, conserving fish habitat, estimating erosion and determining watershed management effects. there are two methods for estimating sediment load: empirical and hydrological methods. existence of numerous empirical methods for estimation of river sediment load and a w...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه علامه طباطبایی - دانشکده اقتصاد 1393

due to extraordinary large amount of information and daily sharp increasing claimant for ui benefits and because of serious constraint of financial barriers, the importance of handling fraud detection in order to discover, control and predict fraudulent claims is inevitable. we use the most appropriate data mining methodology, methods, techniques and tools to extract knowledge or insights from ...

Journal: :FEMS microbiology letters 2002
Ludovic Leblanc Eric Dufour

Three different fluorescence spectra were recorded following excitation at 250 nm (aromatic amino acids+nucleic acids), 270 nm (tryptophan residues) and 316 nm (NADH) for 25 strains of bacteria in dilute suspensions. Evaluation of the spectra using principal component analysis and hierarchical clustering showed a good reproducibility from culture to culture and a good discrimination of the bact...

2008
Yusuke Sugano Yasuyuki Matsushita Yoichi Sato Hideki Koike

This paper presents an online learning algorithm for appearancebased gaze estimation that allows free head movement in a casual desktop environment. Our method avoids the lengthy calibration stage using an incremental learning approach. Our system keeps running as a background process on the desktop PC and continuously updates the estimation parameters by taking user’s operations on the PC moni...

2009
Christopher Leong

This paper proposes several improvements to a proposed game server discovery algorithm based on clustering servers by origin Autonomous System (AS). Following a brief overview of current game server discovery processes, the algorithms on which this paper is based are outlined. Using Valve's Counterstrike:Source game and datasets employed in the previous algorithm's paper, several improvements t...

2003
SVEN MENKE

In 2002 the first combined beam test of the hadronic and electromagnetic liquidargon endcap calorimeters of the ATLAS experiment took place at the SPS test beam at CERN. A total of 15 million events from electrons, muons and pions in the energy range from 6 to 200GeV were recorded. The entire calibration chain, from digital filter weights, over calibration constants, to clustering and energy we...

Journal: :Lecture Notes in Computer Science 2021

The advancement of convolutional neural networks (CNNs) on various vision applications has attracted lots attention. Yet the majority CNNs are unable to satisfy strict requirement for real-world deployment. To overcome this, recent popular network pruning is an effective method reduce redundancy models. However, ranking filters according their “importance” different criteria may be inconsistent...

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