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非刚性图像配准算例，包括最速梯度下降优化、二次样条、2D/3D配准、互信息最小化、3D仿射等多种配准算法。
非刚性配准是当前应用最多的配准方法，用于处理有较大位移的配准问题-Non-rigid image registration examples, including the steepest gradient descent optimization, quadratic spline, 2D/3D registration, mutual information minimizatio
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A new approach toward target representation and localization, the central component in visual tracking
of non-rigid objects, is proposed. The feature histogram based target representations are regularized
by spatial masking with an isotropic kern
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提出一种新的目标表示和定位方法,该方法是非刚体跟踪的核心技术.利用均质空间掩膜规范基于特征直方图的目标表示,该掩膜引入了适合于梯度优化的空间平滑相似函数,所以可以将目标定位问题转换为局部极大值求解问题.我们利用从Bhattacharyya系数倒出的规则作为相似度量,利用mean shift procedure完成优化求解.在给出的测试用例中, 本文方法成功解决了相机移动,阴影,以及其他的图象噪声干扰.文章对运动滤波和数据关联技术的集成也进行了讨论.-A new objective and pos
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提出了一种图像配准随机梯度下降优化与自适应步长法预测的新的图像配准的方法-Presents a decline in image registration optimization and stochastic gradient adaptive step size to predict a new method of image registration
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模式识别里的感知器算法，基于分类应用，校正方法是最优化技术中的梯度下降法。-Inside the sensor pattern recognition algorithm, based on classification applications, calibration method is the optimization of the gradient descent.
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最优化计算的牛顿法＋共轭梯度法的MATLAB程序
共包含五个 m文件
-Newton optimization calculation method+ conjugate gradient method of MATLAB program file contains a total of 5 m
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图像处理算法,实现多种对于灰度/二值图像的基本算法,包括灰度直方图,均衡化,门限处理,模糊,锐化,腐蚀,膨胀,掩模过滤,频域转换,边缘检测,梯度检测,二值化等等.实现的方法较多,且均经过一定的优化,效率不错.-Image processing algorithms to achieve a variety of for the gray/binary image of the basic algorithm, including the gray histogram, equalization,
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matlab编写的共轭梯度法，用来解决非线性优化问题-matlab prepared by the conjugate gradient method is used to solve nonlinear optimization problems
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本文研究了多峰优化问题, 利用梯度算子和筛选策略, 得到了一种可求解多峰函数
全部最优解的改进型遗传算法. 数值模拟结果表明, 该算法在处理复杂多峰函数优化问题时, 局
部搜索能力和克服过早收敛能力方面相对于传统遗传算法均有很大提高.-In this paper, multimodal optimization problems, the use of gradient operator and screening strategies can be solved by a multi-
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压缩感知共轭梯度的基追踪算法。里面详细写了该算法的源程序。希望可以供大家学习。-this is the Gradient Projection for Linearly Constrained Convex Optimization in Sparse Signal Recovery
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这是一个图像刚性配准的程序，有matlab的界面，能够应用pv内插算法，NMI测度和共轭梯度优化算法实现-this is a image registration code of matlab。 it include pv interpretation，NMI metric and conjugate gradient optimization。
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CVPR2012_oral
Weakly Supervised Structured Output Learning for Semantic Segmentation-We address the problem of weakly supervised semantic
segmentation. The training images are labeled only by the
classes they contain, not by their location in t
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非线性共轭梯度算法，用于非线性最优化问题。-Nonlinear conjugate gradient algorithm for nonlinear optimization problem.
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【2015-TIP】-Consistent video saliency using local gradient flow optimization and global refinement
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This article details a novel numerical scheme to approximate gradient flows for optimal transport metrics. These flows have proved useful to tackle theoretically and numerically(load induced by the resolution of each step Indeed this corresponds to
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