搜索资源列表
multisensor-data
- Part I Introduction to Multisensor Data Fusion 1 Multisensor Data Fusion David L. Hall and James Llinas 1.1 Introduction 1.2 Multisensor Advantages 1.3 Military Applications 1.4 Nonmilitary Applications 1
ANN_1.1.2(Newest-Vision-2010-1-27)-
- ANN是一个构造数据索引结果的程序，可以实现最近邻、KD树等功能。ANN is designed for data sets that are small enough that the search structure can be stored in main memory (in contrast to approaches from databases that assume that the data resides in
tmp
- tmp tmo tmom dalkd lk al kd ad lsak d ka -tmp tmp tmo tmom dalkd lk al kd ad lsak d ka
kdtree
- 建立kd树的源代码，亲测可以使用，能极大提高搜索的速度-Establishment of the kd-tree source code, the pro-test can be used, can greatly improve the search speed
LSSVMLab-1.6
- 模糊PID算法（C++） 温度控制的一般控制算法，Kp,Ki,Kd,需根据具体的控制对象取合适的值-Fuzzy PID algorithm (C++,) the general control algorithm for temperature control, Kp, Ki, Kd, to be based on a specific control object to take the appropria
kd
- 可以篇历打开的所有窗口，关闭设定的特定窗口，比如阻止某些软件弹出的窗口。-Articles calendar open all the windows, turn off the set a specific window, such as to prevent some of the software pop-up window.
Fpidu
- 模糊PID算法（C++）温度控制的一般控制算法，Kp,Kii,Kd,需根据具体的控制对象取合适的值-fuzzy-PID -Fuzzy PID algorithm (C++) temperature control of the general control algorithm, Kp, of Kii Kd required depending on the control object to take the appropriat
flann-1.7.1-src
- kd-tree的建立与操作,可以应用于三维重建，三维导航-kd-tree establishment and operation can be applied to three-dimensional reconstruction of three-dimensional navigation
kdfilter
- 很好的点云滤波的文章，主要介绍了K-d树的滤波方法-Good point cloud filtering articles, Kd tree filtering method
knn
- 这是一个小而有效的程序来执行的K -近邻搜索算法，此算法利用JIT 理论加速循环，比向量化有效解决了大量数据的精度问题。甚至比kd-tree效果要佳。 K-nearest neighbor search已经广泛应用在科学与工程上，比如模式识别，数据挖掘和信号处理。 -This is a small and effective procedures to implement the K- nearest neighbor sear
simulation
- 这是一个基于KD-RTI联邦运行支撑的c++程序，仿真潜艇突围驱逐舰和直升机防线-This is based on the KD-RTI federal running support the c++ of program simulation submarine to breakout destroyer and helicopter line of defense
kd-Tree-On-KNN
- 利用K_D树数据结构实现K邻域搜索的算法代码-K_D tree data structure the K neighborhood search algorithm code
flann-1.8.4-src
- kd-tree的建立与查询,支持多核cpu-Fast Library for Approximate Nearest Neighbors
KDTree-SRC
- KD树，用于范围搜索。大家都懂啦，不用多说了-KD tree for range search
kd_dump
- This file contains routines for dumping kd-trees and bd-trees and reloading them.
1000-3428(2008)22-0231-03
- 针对传统的PID 控制器参数固定而导致在控制中效果差的问题，提出一种基于模糊RBF 神经网络智能PID 控制器的设计方法。 该方法结合了模糊控制的推理能力强与神经网络学习能力强的特点，将模糊控制与RBF 神经网络相结合以在线调整PID 控制器参数，整 定出一组适合于控制对象的kp. ki. kd 参数。将算法运用到电机控制系统的PID 参数寻优中，仿真结果表明基于此算法设计的PID 控制器改善了电机控制系统的动态性能和稳定性。-
KDTree
- k-d树（k-dimensional树的简称），是一种分割k维数据空间的数据结构。主要应用于多维空间关键数据的搜索（如：范围搜索和最近邻搜索）。用java实现，可直接运行-kd-tree (k-dimensional tree for short), is a partition the data structure of k-dimensional data space. Mainly used in the search of th
sift-kdtree
- 程序实现了对图像sift特征的提取，并利用KD-树对图像进行相似度匹配。-Program image sift feature extraction and similarity matching KD-tree image.
ImageRetrieval
- 本系统利用图片的surf特征进行匹配，KD-tree存储特征数据节点，实现相似图片的检索。实现类似于百度的以图搜图功能，结果返回最相似的前十名的图片。-The system uses a picture of the surf feature match, KD-tree storage feature data node, similar image retrieval. Similar to Baidu to search map
kdTree
- 最近邻算法的构建，构造kd-tree。是统计学习方法中的经典方法。是其源码实现。-Nearest neighbor algorithm, constructed kd-tree. The classical method is a statistical learning method. Its source code to achieve.