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kernel-ica1_1.tar
- 可以用于人脸识别的核ICA算法，在ICA基础上改造过来的。-can be used for nuclear ICA face recognition algorithm based on the ICA transformation overnight.
Efficient_implementation_of_kernel_filtering.3
- Kernel based filtering is one of the fundamental tools of image analysis and processing. A number of approaches have been developed over the years that allow efficient implementation of such filters even when the kernel size is large. This article re
KernelTracking
- 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
KernelObjectTrack
- Kernel Object Tracking算法实现代码，自己本科毕设！-Kernel Object Tracking algorithm code, we completed the set up their own!
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- 自适应核密度估计运动检测方法 提出一种自适应的核密度(kernel density estimation, KDE)估计运动检测算法. 算法首先提出一种自适应前景、背景阈值的双阈值选择方法, 用于像素分类. 该方法用双阈值能克服用单阈值分类存在的不足, 阈值的选择能自适应进行, 且能适应不同的场景. 在此基础上, 本文提出了基于概率的背景更新模型, 按照像素的概率来更新背景, 并利用帧间差分背景模型和KDE分类结果, 来解决背景更新中的死锁问题, 同时检测背景的突然变化. 实验证明了所提出
kernel
- Kernel-based 图像去噪和复原算法，是一种基于图像局部特征的复原方法。-Kernel-based algorithm for image denoising and restoration, is a local feature of image-based recovery methods.
kernel-ica1_1
- 基于核函数的主分量分析法源代码，可用于人脸识别-Kernel-based principal component analysis source code, can be used for face recognition
generalized
- Generalized Kernel-based Visual Tracking的源代码，对研究目标跟踪的学者很有用-The source code of Generalized Kernel-based Visual Tracking
kht_sandbox-1.0.2-source
- HOUGH TRANSFORM,用于直线检测！-KERNEL-BASED HOUGH TRANSFORM FOR DETECTING STRAIGHT LINES IN IMAGES
hehanshufcm
- 用Matlab实现基于核函数的C均值聚类图像分割，实验好，好用-Using Matlab implementation of kernel-based C-means clustering image segmentation, experimental is good, easy to use
pcakenelfunction
- pca分解的核函数，在pca分解中可以用到，特别是分解的矩阵维数比较高的情况下，通过svd分解获得pca基-pca decomposition of the kernel function, in the pca decomposition can be used, in particular the decomposition of the matrix of higher dimension, through the svd decomposition was pca-based
Kernel Based Deblurring ToolBox ver
- 运用核回归方法去模糊的经典程序，效果很好，有参考文献-using kernel regression for image deblurring,it s very effective
KECA
- Kernel Entropy Component Analysis,KECA方法的作者R. Jenssen自己写的MATLAB代码，文章发表在2010年5月的IEEE TPAMI上面-Kernel Entropy Component Analysis, by R. Jenssen, published in IEEE TPAMI 2010. We introduce kernel entropy component analysis (kernel ECA) as a new method
kfcm
- 基于核的FCM，可以用于聚类或者图像分割，但运行速度不是很快 自己不知道如何优化-Kernel-based FCM, can be used for clustering or image segmentation, but the speed is not fast they do not know how to optimize
kfcm
- 基于核函数的模糊C聚类均值（fcm）算法-FCM algorithm based on kernel function
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- 基于核函数的聚类分析相关文献，十篇研究博硕士论文。-Kernel-based clustering analysis of relevant literature, ten of Repository.
2
- 基于核函数的聚类分析相关文献，多篇研究博硕士论文。-Kernel-based clustering analysis of relevant literature, many articles of Repository.
Kernel-PCA
- calculation algorithm for principle component analysis based kernel of any image database.
1
- algorithm for kernel based face recognition system capable of removing all occlusions.
WeightedMMDA
- 不仅使用了kernel trick ，还是用了加权的最大边缘规则，获得较好的识别效果。-A new kernel-based learning algorithm, called kernel weighted maximum margin discriminant analysis (KWMMDA), is presented in this paper. Different from the previous discriminant analysis algorithms base