搜索资源列表
HASHES.ZIP
- 雜湊法(Hashing)的搜尋與一般的搜尋法(searching)是不一樣的。在雜湊法中，鍵值(key value)或識別字(identifier)在記憶體的位址是經由函數(function)轉換而得的。此種函數，一般稱之為雜湊函數(Hashing function)或鍵值對應位址轉換(key to address transformation)。對於有限的儲存空間，能夠有效使用且在加入或刪除時也能快的完成，利用雜湊法是最適當不過了。因為雜湊表搜尋在沒有碰撞(collision)及溢位(over
p-stable_lsh
- LSH代码，locality-sensitive hashing（局部敏感哈希），实现高位数据搜索平台，具有快速简便的优点-LSH Code, locality-sensitive hashing (local sensitive hash), to achieve high data search platform, has the advantages of quick and easy
hash
- 为班级30个人的姓名设计一个哈希表，假设姓名用汉语拼音表示。要求用除留余数法构造哈希函数，用线性探测再散列法处理冲突，平均查找长度上限为2.-The names of 30 people for the class to design a hash table, assuming that the name in pinyin. Required to remain with the addition of more than a few method to construct hash fun
datrie_cvs20061001.tar
- This an implementation of double-array structure for representing trie, as proposed by Junichi Aoe [1]. Trie is a kind of digital search tree, an efficient indexing method with O(1) time complexity for searching. Comparably as efficient as h
hashing__
- program which uses hashing techniques for storing and retrieving the data. Input to the program: Some random numbers. Input will be from a file. Output: First the program reads all the input and store it properly using some hash techniques.
find
- 哈希表的设计 [问题描述] 真对你所在的集体（比如你所在的班级）中的人名设计一个哈希表，使得平均查找长度不超过R，完成相应的建表和查表的程序。 [基本要求] 假设人名为中国人姓名的汉语拼音形式，待填入的哈希表的人名共有30个，取平均查找长度的上限为2。哈希函数用除留余数方法构造，用伪随机探测再散列处理冲突。 -Hash table design [descr iption of the problem] really right in your collective (
Hash
- 1. 本程序是针对“人名”设计的哈希表。 2. 程序中人名为汉语拼音形式，共30个人名，取平均查找长度的上限为2.哈希函数用除留余数法构造，用伪随机探测再散列法处理冲突。 3. 本程序以用户和计算机的对话方式执行，即在计算机终端上显示“提示信息”之后，由用户在键盘上输入程序中规定的运算命令；相应的输入数据（滤去输入中的非法字符）和运算结果显示在其后。4.本程序是清华严蔚敏配套哈希表程序-1. This program is for " names" design of the
ds_6
- 1．定义哈希表数据结构。 2．除留余数法做为哈希函数、 H(key) = key P 用线性探测再散列解决冲突方法，编写函数，实现哈希造表的过程，并输出哈希表。 3．编写函数，求查找成功时的平均查找长度（ASL）。-1. Define hash table data structure. 2. In addition to leaving the remainder as the hash function method, H (key) = key P re-hashing
AlgoritmRabina_Karpa
- The Rabin–Karp algorithm is a string searching algorithm created by Michael O. Rabin and Richard M. Karp in 1987 that uses hashing to find any one of a set of pattern strings in a text. For text of length n and p patterns of combined length m, its av
lsh-0.06.tar
- locality-sensitive hashing（局部敏感哈希），实现高位数据搜索平台，具有快速简便的优点。解压无密码-locality-sensitive hashing , to achieve high data search platform with the advantages of quick and easy. No password extract
6
- 1．定义哈希表数据结构。 2．除留余数法做为哈希函数、 H(key) = key P 用线性探测再散列解决冲突方法，编写函数，实现哈希造表的过程，并输出哈希表。 3．编写函数，求查找成功时的平均查找长度（ASL）。-1. Define the hash table data structure. 2. In addition to leaving the remainder as the hash function method, H (key) = key P re-ha
123
- (1) 假定每个记录有下列数据项：电话号码、用户名、地址。 (2) 一是从数据文件old.txt(自己现行建好)中读入各项记录，二是由系统随机产生各记录，并且把记录保存到new.txt文件中以及显示到屏幕上，记录条数不要少于30，然后分别以电话号码和用户名为关键字建立哈希表。 (3) 分别采用伪随机探测再散列法和再哈希法解决冲突。 (4) 查找并显示给定电话号码的记录；查找并显示给定用户名的记录。 (5) 将没有查找的结果保存到结果文件Out.txt中，显
yy6
- 1．定义哈希表数据结构。 2．除留余数法做为哈希函数、 H(key) = key P 用线性探测再散列解决冲突方法，编写函数，实现哈希造表的过程，并输出哈希表。 3．编写函数，求查找成功时的平均查找长度（ASL）。 -1. Define the hash table data structure. 2. In addition to leaving the remainder as the hash function method, H (key) = key P re-h
hash11
- 基本要求 假设人名为中国人姓名的汉语拼音形式。待填入哈希表的人名共有30个，取平均查找长度上限为2。哈希函数用除留余数法构造，用伪随机探测再散列法处理冲突。 测试数据 取周围较熟悉的30个人的姓名。-Assuming the basic requirements of people who named the name of the Chinese Pinyin form. Hash table to be filled a total of 30 names, taking the
Similarity-Search-via-Hashing
- 图像高维特征的hash化，大大提高检索速度-Image of high-dimensional feature hash, and greatly improve the retrieval speed
Hashing
- We’ll discuss the hash table ADT which supports only a subset of the operations allowed by binary search trees. The implementation of hash tables is called hashing. Hashing is a technique used for performing insertions, deletions and finds in con
Search
- 哈希法实现小型搜索引擎,可以在一段文字内搜索关键词出现的句子，是哈希表的基础应用-Hashing achieve small search engine, you can search for key words in a sentence paragraph of text, is the basis for the application of the hash table
Hashing Search
- 哈希查找， 根据文本输入构建哈希表， 输入字符串输出对应字符串在文本中出现的位置(Hash lookup, Build a hash table based on text input, The input string outputs the position in which the corresponding string appears in the text)
新论文
- 多媒体检索中的线性跨模态哈希算法，旨在降低算法的复杂度，变为线性复杂度。(Linear Cross-Modal Hashing for Efficient Multimedia Search)
simple-and-efficient-weighted-minwise-hashing
- Weighted minwise hashing (WMH) is one of the fundamental subroutine, required by many celebrated approximation algorithms, commonly adopted in industrial practice for large -scale search and learning. The resource bottleneck with WMH is the comput