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data-asso--introduction
- 详细介绍数据关联的相关知识,包含最近邻,JPDA的算法的详细推导。-Detailed data related knowledge, including the nearest neighbor, detailed derivation JPDA algorithm.
25292626
- 为了实现复杂环境下的人脸特征有效表达,提出一种改进的梯度方向直方图(HOG)人脸识别方法.首先以人脸图像网格作为采样窗口并在其上提取 HOG特征;然后将所有网格 HOG特征向量进行组合,实现整个人脸特 征表达;最后采用最近邻分类器进行识别.另外,比较了该方法与Gabor小波和局部二值模式(LBP)2种著名的人脸 局部特征表示方法的优劣.实验结果表明,在调优的 HOG参数下,在具有光照和时间环境等复杂变化的FERET人 脸库中,较少维数的 HOG特征比LBP特征有更好的表现,而且 HO
paper3
- 支持偏好调控的路网隐私保护k近邻查询方法-Preference network support privacy regulation k nearest neighbor query methods
2
- 室内无线定位技术 室内无线定位技术可以这样分成三类:近邻法、三边(角)测量法、模式匹配法。-Indoor wireless positioning technology indoor wireless location technology can be divided into three categories: nearest neighbor, trilateral (angle) measurement method, pattern matching method.
COMPLETE-DOCUMENT
- document explaning method of Neighbor Table Based Shortcut Tree Routing
optimization
- 多变量时间序列相空间重构的优化,改进的方法避免使用虚假最近邻点法。-The optimization of phase space reconstruction of multivariate time series, the improved method avoids the use of false nearest neighbor method.
0755
- 包括最小二乘法、SVM、神经网络、1_k近邻法,采用加权网络中节点强度和权重都是幂率分布的模型,ofdm系统仿真 含16qam调制 fft 加窗 加cp等模块。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Using weighted model nodes in the network strength and weight are power law distribu
tenpai_v19
- 意信号卷积的运算,并且绘制图象,双向PCS控制仿真,包括最小二乘法、SVM、神经网络、1_k近邻法。- Convolution operation is intended to signal and image rendering, Two-way PCS control simulation, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
njvvi
- 包括最小二乘法、SVM、神经网络、1_k近邻法,用于时频分析算法,各种资源分配算法实现。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, For time-frequency analysis algorithm, Various resource allocation algorithm.
cedbk
- 基于K均值的PSO聚类算法,非常适合计算机视觉方面的研究使用,包括最小二乘法、SVM、神经网络、1_k近邻法。- K-means clustering algorithm based on the PSO, Very suitable for the study using computer vision, Including the least squares method, the SVM, neural networks, 1 _k neighbor method.
gun_hm20
- 合成孔径雷达(SAR)目标成像仿真,包括最小二乘法、SVM、神经网络、1_k近邻法,光纤陀螺输出误差的allan方差分析。- Synthetic Aperture Radar (SAR) imaging simulation target, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, allan FOG output error variance analysis.
xneay
- 包括最小二乘法、SVM、神经网络、1_k近邻法,可以提取一幅图中想要的目标,关于超声波倒车雷达测距的。- Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Target can be extracted in a picture you want, About ultrasonic parking radar ranging.
Traveling-Salesman-Problem---Nearest-Neighbor
- Nearest Neighbour algorithm for a TSP with 7 cities. The solution changes as the starting point is changed The nearest neighbour (NN) algorithm (a greedy algorithm) lets the salesperson choose the nearest unvisited city as his next move. This algor
ae223
- 调试通过可以使用,包括最小二乘法、SVM、神经网络、1_k近邻法,单径或多径瑞利衰落信道仿真。- Debugging can be used, Including the least squares method, the SVM, neural networks, 1 _k neighbor method, Single path or multipath Rayleigh fading channel simulation.
2012.李航.统计学习方法
- 《统计学习方法》是计算机及其应用领域的一门重要的学科。《统计学习方法》全面系统地介绍了统计学习的主要方法,特别是监督学习方法,包括感知机、k近邻法、朴素贝叶斯法、决策树、逻辑斯谛回归与最大熵模型、支持向量机、提升方法、EM算法、隐马尔可夫模型和条件随机场等。除第1章概论和最后一章总结外,每章介绍一种方法。叙述从具体问题或实例入手,由浅入深,阐明思路,给出必要的数学推导,便于读者掌握统计学习方法的实质,学会运用。为满足读者进一步学习的需要,书中还介绍了一些相关研究,给出了少量习题,列出了主要参考文