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KernelBasedObjectTracking
- A new approach toward target representation and localization, the central component in visual tracking of nonrigid objects, is proposed. The feature histogram-based target representations are regularized by spatial masking with an isotropic kernel.
SkinPoresDetection
- skin pore size in fuzzy c-mean
netsim
- To simulate the CSMA/CD and CSMA protocols and analyse their performance particularly mean delay and throughput using netsim.
AlgorTrackingFastMotionOb
- A paper on Algorithm for Tracking of Fast Motion Objects with Adaptive Mean Shift
Client
- This paper introduces a message forwarding algorithm for search applications within mobile ad hoc networks that is based on the concept of selecting the nearest node from a set of designated nodes. The algorithm, which is called Minimum Distance P
Studies-on-Fuzzy-C-Means-Based-on-Ant-Colony-Algo
- A fault identification with fuzzy C-Mean clustering algorithm based on improved ant colony algorithm (ACA) is presented to avoid local optimization in iterative process of fuzzy C-Mean (FCM) clustering algorithm and the difficulty in fault cl
GSM-and-GPRS
- In the next few slide we re going to look at GSM, the Global System for Mobile communications. GSM is the European standard for mobile telephony and is currently implemented in over 80 countries from Albania to Zimbabwe, with a rapidly growing
em_covariances
- Using SAS/IML : This code uses the EM algorithm to estimate the maximum likelihood (ML) covariance matrix and mean vector in the presence of missing data. This implementation of the EM algorithm or any similar ML approach assumes that the data are
04470122.rar
- This paper proposes a novel and computationally efficient global I< optimization method based on swarm ntelligence for locating ti nodes in a WSN environment. The mean squared range error of a all neighbouring anchor nodes is taken as the obj
adaptive-lms
- 有源自适应噪声的最常用算法，该算法是基于滤波器的输出信号与期望响应之间的误差的均方值为最小。-Active adaptive noise most commonly used algorithm, which is based on the error between the filter output signal and the desired response minimum mean-square value.
CNUSIRLINUXC.tar
- it is to find mean meadin etc
wfzz
- 本文首先介绍了微分中值定理之间的内在联系，以及它们的推广；接着再看微分中值定理在解题中的应用-This paper introduces the Mean Value Theorem intrinsic link between, as well as their promotion Then look Mean Value Theorem in solving problems
04683346-(1)
- 这篇文章讲述了一种自适应的均值移动算法，展示了这种方法的优势之处，对研究这方面的学者会有很大的启发-An Adaptive Mean-Shift Analysis Approach for Object Extraction and Classification From Urban Hyperspectral Imagery
123455
- 集成改进Mean Shift 和区域合并两种算法的图像分割,能得到更好的分割效果，且能在一定程度上提高遥感影像分割的自动化。-Improved Mean Shift and regional integration merge two algorithms for image segmentation, segmentation can get better results, and can improve the automation of remote sensing image segme
Nonlocal-Means
- 改进的非局部均值去噪，采用均值和方差选择相似的图像块。-Improved non-local means denoising, using the mean and variance of the to similar images.
phasesym
- PHASESYM - Function for computing gabor features of a gray-scale image This function calculates gabor features. Mean-squared energy & meanAmplitude for each scale and orientation is returned.
Alexander-D.-Poularikas-Adaptive-Filtering_-Funda
- Alexander D. Poularikas-Adaptive Filtering_ Fundamentals of Least Mean Squares with MATLAB® -CRC Press (2014)
Detection-of-viruses-in-tomatoes-leaf-based-on-K-
- Detection of viruses in tomatoes leaf based on K-Mean clustering algorithm
_L0-Norm-Constraint-LMS-Algorithm
- 用于稀疏系统辨识的L0范约束的最小均方算法原理研究-For sparse system identification of L0 norm constraint of the least mean square algorithm principle is studied
Regularized-LMS
- 归一化的最小均方算法原理及误差分析，LMS入门-Normalized least mean square algorithm principle and error analysis, introduction to LMS