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This paper proposes a new method of extracting and tracking
a nonrigid object moving while allowing camera movement. For object
extraction we first detect an object using watershed segmentation
technique and then extract its contour points by a
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本文深入研究了复杂调制信号MPSK、MQAM的倍号子类以及常用恒包络信
号OQPSK、or／4 QPSK、MSK的调制识别披本。在鳆种基本调制识别方法即基于特征提取的方法和基于最大似然的方法的纂础上采用四种算法分别对上述信号进行识别研究。-This article studies the complex modulation signals MPSK, MQAM number of times and the common sub-class of constant envelope sig
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We present a method to learn and recognize object class
models from unlabeled and unsegmented cluttered scenes
in a scale invariant manner. Objects are modeled as flexible
constellations of parts. A probabilistic representation is
used for al
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一种多站测向多目标被动跟踪方法的研究,通过采用最小距离法、最大似然法等方法剔除掉虚假定位点-A multi-station finding the multi-target passive tracking method through the use of the minimum distance method, maximum likelihood method and other methods to weed out the false positioning point
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this method is called the maximum likelihood estimation method .which is used to find out the parameters of johnson distribution .
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应用matlab处理统计学问题，含蒙特卡洛算法以及最大似然估计-Statistical analysis and simulation using MATLAB,Monte Carlo simulation and Newton-Raphson method to obtain maximum likelihood estimators are covered.
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We consider the source localization problem using
time-difference-of-arrival (TDOA) measurements in sensor networks.
The maximum likelihood (ML) estimation of the source
location can be cast as a nonlinear/nonconvex optimization
problem,
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In this paper we present Discriminative Random Fields (DRF), a discrim- inative framework for the classification of natural image regions by incor- porating neighborhood spatial dependencies in the labels as well as the observed data. The proposed mo
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a important ML estimation method for linear regression vie Maximum likelihood method
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maximum likelihood estimation method can be used to very broad estimation
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In this paper, a new scaling-based image-adaptive
watermarking system has been presented, which exploits human
visual model for adapting the watermark data to local properties
of the host image. Its improved robustness is due to embedding
in
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递推极大似然法 递推极大似然法 递推极大似然法-Recurision maximum likelihood method Recurision maximum likelihood methodRecurision maximum likelihood methodRecurision maximum likelihood method
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最大似然（ML）准则和最大后验概率（MAP）准则，二维声子晶体FDTD方法计算禁带宽度的例子,均值便宜跟踪的示例。- Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion, Dimensional phononic crystals FDTD method calculation examples band gap, Example tracking mean cheap.
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人脸识别中的光照处理方法，包括 MUSIC算法，ESPRIT算法 ROOT-MUSIC算法，最大似然（ML）准则和最大后验概率（MAP）准则。- Face Recognition light treatment method, Including the MUSIC algorithm, ESPRIT algorithm ROOT-MUSIC algorithm, Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) cr
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