Description: The approximate nearest neighbor search code is contained in this zip file. You can use the data contained in to see how the program works. Platform: |
Size: 625974 |
Author:jianzhuhuai |
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Description: 假近邻法(False Nearest Neighbor, FNN)计算嵌入维的Matlab程序
文件夹说明：
Main_FNN.m - 程序主函数，直接运行此文件即可
LorenzData.dll - 产生Lorenz时间序列
PhaSpaRecon.m - 相空间重构
fnn_luzhenbo.dll - 假近邻计算主函数
SearchNN.dll - 近邻点搜索
buffer_SearchNN_1.dll - 近邻点搜索缓存1
buffer_SearchNN_2.dll - 近邻点搜索缓存2
参考文献：
M.B.Kennel, R.Brown, H.D.I.Abarbanel. Determining embedding dimension for phase-space reconstruction using a geometrical construction[J]. Phys. Rev. A 1992,45:3403.
-false neighbors (False Nearest Neighbor, FNN) calculation embedding dimension of the Matlab program folder : Main_FNN.m-procedure main function, Direct operating this document can be LorenzData.dll-time series produced Lorenz PhaS paRecon.m-phase space reconstruction fnn_luzhenbo.dll-calculated at the main function neighbors SearchNN.dll-point search buffer_SearchNN_1.dll neighbor- Search neighbor point a buffer_SearchNN_2.dll Cache-Cache Search neighbors point two reference Literature : M. B. Kennel, R. Brown, H. D. I. Abarbanel. Determining embedding dime nsion for phase-space reconstruction using a g eometrical construction [J]. Phys. Rev. A 1992 , 45:3403. Platform: |
Size: 99328 |
Author:呆雁 |
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Description: ANN是一个加快搜索速度的源码程序；通过C++编写，支持在任意高维空间的近似或准确的最近邻搜索。-ANN is a source to speed up the search speed of procedures through C++ Prepared to support the arbitrary high-dimensional space approximate or accurate nearest neighbor search. Platform: |
Size: 55296 |
Author: |
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Description: ％ [nearest_neighbours] = find_nearest_neighbours( database, desc, max_dist )
％ Find the indices of the nearest neighbours of the given desriptors in the近邻点寻找算法，在非线性时间序列中很有用，是常用的算法- [Nearest_neighbours] = find_nearest_neighbours (database, desc, max_dist) Find the indices of the nearest neighbours of the given desriptors in the neighbor-point search algorithm, the nonlinear time series of very useful, is a commonly used algorithm Platform: |
Size: 1024 |
Author:zhxj |
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Description: The approximate nearest neighbor search code is contained in this zip file. You can use the data contained in to see how the program works. Platform: |
Size: 625664 |
Author:jianzhuhuai |
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Description: 最近邻搜索算法，k_tree算法的大部分中文文献-Nearest neighbor search algorithm, k_tree algorithm for most of the Chinese literature Platform: |
Size: 11755520 |
Author:zoe |
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Description: 大规模图像检索的代码，matlab与c++混合编程。总结了目前图像检索领域目前主要存在的方法。通过阅读该代码，可以对于经典的“词袋”模型（bow模型）有个具体的了解，但是该代码没有提供前序的特征提取，是直接从对提取好的特征向量聚类开始的，包括了k-means，分层k-means（HKM）聚类，倒排文件的建立和索引等，该代码还提供了局部敏感哈希（LSH）方法。最后，这份代码是下面这篇论文的作者提供的，
Indexing in Large Scale Image Collections: Scaling Properties and Benchmark-This C++/Matlab package implements several algorithms used for large scale
image search. The algorithms are implemented in C++, with an eye on large
scale databases. It can handle millions of images and hundreds of millions
of local features. It has MEX interfaces for Matlab, but can also be used
(with possible future modifications) from Python and directly from C++. It
can also be used for approximate nearest neighbor search, especially using
the Kd-Trees or LSH implementations.
The algorithms can be divided into two broad categories, depending on the
approach taken for image search:
1. Bag of Words:
----------------
The images are represented by histograms of visual words.
It includes algorithms for computing dictionaries:
* K-Means.
* Approximate K-Means (AKM).
* Hierarchical K-Means (HKM).
It also includes algorithms for fast search:
* Inverted File Index.
* Inverted File Index with Extra Information (for example for implementing
Hamming Embedding).
* Platform: |
Size: 148480 |
Author:薛振华 |
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Description: 一种用近邻搜索法解决VRP问题的源代码，可以解决多种问题-Source code of a nearest neighbor search method to solve the VRP problem Platform: |
Size: 5120 |
Author:孙常虹 |
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Description: 对大量文件中相关内容的搜索，k近邻查询算法及一些改进-A large number of files in the search k nearest neighbor query algorithm and some improvements Platform: |
Size: 4675584 |
Author:wyj |
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Description: 自适应空间球的k邻域快速搜索算法，利用空间微分块与动态球策略的k近邻搜索算法研究-Origianl-Adaptive spatial neighborhood k ball fast search algorithm, differential block the use of space and dynamic ball strategy k nearest neighbor search algorithm-Origianl Platform: |
Size: 381952 |
Author:闫子熙 |
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Description: Conventional spatial queries, such as range search and nearest neighbor retri , involve only conditions on objects’ geometric properties. Today, many modern applications call for novel forms of queries that aim to find objects satisfying both a spatial predicate, and a predicate on their associated texts. For example, instead of considering all the restaurants, a nearest neighbor query would instead ask for the restaurant that is the closest among those whose menus contain “steak, spaghetti, brandy” all at the same time.-Conventional spatial queries, such as range search and nearest neighbor retri , involve only conditions on objects’ geometric properties. Today, many modern applications call for novel forms of queries that aim to find objects satisfying both a spatial predicate, and a predicate on their associated texts. For example, instead of considering all the restaurants, a nearest neighbor query would instead ask for the restaurant that is the closest among those whose menus contain “steak, spaghetti, brandy” all at the same time. Platform: |
Size: 3143680 |
Author:pravin |
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Search - nearest neighbor search