为了完成老师交代的任务，自己从网上精心搜集的关于kd-tree的全面详细资料。 An introductory tutoril on kd-trees.pdf Highly Parallel Fast KD-tree Construction for Interactive Ray Tracing of Dynamic Scenes.pdf KD+tree-tutorial.pdf On building fast kd-Trees for Ray Tracing, and on doing
For many computer vision problems, the most time consuming component consists of nearest neighbor matching in high-dimensional spaces. There are no known exact algorithms for solving these high-dimensional problems that are faster than linear search
An introductory tutoril on kd-trees.pdf Highly Parallel Fast KD-tree Construction for Interactive Ray Tracing of Dynamic Scenes.pdf KD+tree-tutorial.pdf On building fast kd-Trees for Ray Tracing, and on doing that in O(N log N).pdf Optimised KD-tree
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: Scal
We present an algorithm for constructing kd-trees on GPUs. This algorithm achieves real-time performance by exploiting the GPU’s streaming architecture at all stages of kd-tree construction. Unlike previous parallel kd-tree algorithms, our method bu
数据结构原本，大一统，外文书原版 Data structures Contents Articles Introduction 1 Data structure 1 Linked data structure 3 Succinct data structure 6 Implicit data structure 8 Compressed data structure 9 Search data structure 10 Persistent data structure 11 Concurre
大数据下的机器学习算法综述，介绍利用大数据做机器学习的常用算法ordan
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