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人脸识别（基于特征脸）
- 本文是在人脸数据库的基础上做人脸特征提取和识别研究，主要内容如下： （1） 对人脸识别研究的内容、相关技术、主要实现方法及发展历程作了详细介绍。 （2） 介绍主成分分析法(PCA)、K-L变换，并利用特征脸方法实现了人脸识别。 （3）给出了基于matlab环境的编程及实验结果，并对结果进行分析。 关键词: 人脸识别，特征脸，K-L变换，主成分分析
K从入门到精通（MTK开发平台搭建）
- K从入门到精通的MTK开发平台搭建的详细步骤！
deconv
- 关于levin anat的几篇去模糊的文章，有对模糊核的详细介绍，代码可以在作者的博客中找到。-This paper derives a simple approximated MAPk algorithm which involves only a modest modifi cation of common MAPx,k algorithms. We show that MAPk can, in fact, be optimized easily, with no addit
GMM
- Source code - create Gaussian Mixture Model in following steps: 1, K-means 2, Expectation-Maxximization 3, GMM Notice: All datapoints are generated randomly and you can config in Config.h-Source code- create Gaussian Mixture Model
anfang
- 安防学习_C&K报警主机基本概念-Security study _C
Tracking_and_classifying_moving_objects_from_video
- Q. Zhou, J.K. Aggarwal. Tracking and Classifying Moving Objects from Video. 这篇文章另辟蹊径，利用“紧凑度值的变化、运动方向的变化”，区分人、人群、机动车。达到良好的分类效果。是运动目标分类领域的好文章。-Q. Zhou, JK Aggarwal. Tracking and Classifying Moving Objects from Video. This article open a new path, by us
Research_Report_2005
- During the past four years, most of our research activities have been focused on image but also video and 3-D objects processing for security applications (watermarking and biometrics) and communications (talking heads, interfaces), with a specia
EMMCLUSTER.tar
- Segmentation of Image using k-Means based on centroid values
10Algorithms-08
- This paper presents the top 10 data mining algorithms identified by the IEEE International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM, Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms
Behrouz_SSPR04_final
- K-NN algorithm in collaboration with GA research paper
K-VideoScan
- reconnaissance dans une vidéo-reconnaissance dans une vidéo
sift4
- :提出一种基于尺度不变特征变换(SIFT)特征匹配的目标跟踪方法.首先使用SIFT提取目标特征,构 建目标特征库,然后使用基于K维树的特征匹配算法,对实时序列图像提取的SIFT特征与特征库中目标进行精确匹配 -: Based on Scale Invariant Feature Transform (SIFT) feature matching target tracking. The first to use SIFT target feature extraction, featur
A-STATE-OF-THE-ART-REVIEW-ON-ACTIVE-CONTROL-OF.ra
- A state of the art revie on active structural control by T.K. Datta
k-type-ann
- k型局部连接神经网络的结构和算法，及其与其他网络的函数逼近性能对比-k partially connected neural network structure and algorithm, and other network function approximation performance comparison
Principles.of.Power.System-V-K-Mehta-a-Rohit-Meht
- Power System V. K. Mehta
k-epso
- best soudo code for k-epso easy to understand and very useful
LOW-k
- low-k与cu做大规模芯片材料的优点，总结了一下，可以做报告-low-k and cu do large-scale chip material advantage, summed up what can be done reporting
Detection-of-viruses-in-tomatoes-leaf-based-on-K-
- Detection of viruses in tomatoes leaf based on K-Mean clustering algorithm
K-factor
- Transformer K Factor
randomized-dimensionality-reduction-for-k-means.r
- Randomized Dimensionality Reduction for k-means Clustering This paper makes further progress towards a better understanding of dimensionality reduction for kmeans clustering. Namely, we present the first provably accurate feature selection met