A locality-sensitive hashing (LSH) technique has recently been employed to achieve the abovementioned privacy-preservation goal. However, traditional LSH-based recommendation approaches often suffer from low accuracy when the service quality data recruited in recommendations vary in a big range. ...
The key idea of locality-sensitive hash (LSH) is to hash the points using several hash functions so as to ensure that, for each function, the probability of collision is much higher for objects which are close to each other than for those which are far apart. Then, one can determine ...
Recently, locality sensitive hashing (LSH) was shown to be effective for MIPS and several algorithms including $L_2$-ALSH, Sign-ALSH and Simple-LSH have been proposed. In this paper, we introduce the norm-range partition technique, which partitions the original dataset into sub-datasets containi...
云计算环境下基于倒排lsh的高维近似图象检索方法 Cloud computing environment inverted lsh high dimensional approximation based Image Retrieval本发明公开了一种云计算环境下基于倒排LSH的高维近似图象检索方法,属于基于大数据与移动应用领域. The present invention discloses a large part based on data and mobile ...
题目:LSHiForest: A generic framework for fast tree isolation based ensemble anomaly analysis 期刊/会议:IEEE ICDE 发表时间:2017年 引用次数:9 二、论文总结 2.1 研究方向 将孤立森林和局部敏感哈希(LSH)结合起来,提出通用的框架LSHiForest ...
Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-Modal with Easy Inference & Serving) - lshabcd/PaddleHub
In this paper, we propose a generic framework named LSHiForest for fast tree isolation based ensemble anomaly analysis with the use of a Locality-Sensitive Hashing (LSH) forest. Being generic, the proposed framework can be instantiated with a diverse range of LSH families, and the fast ...
aAverage sales per outlet would be low. With 30% improvement in MB registration estimated in 2014 (860 units) and in 2015 (1,120 units), considering the expansion rate dedicated to each outlet, sales format of 600 to LSH project in year 2014 would be too large based on the market deman...
The LSH-based clustering and indexing method comprises the steps of step 1, carrying out clustering analysis on a data set, dividing the data set into a plurality of categories, and determining and ensuring a clustering center of each category; step 2, establishing a hashing table in each ...
Therefore, several distributed indexing schemes based on peer-to-peer (P2P) networks are proposed, whereas how to ensure load balancing is still one of the key issues. To solve the problem, in this paper, we propose two theoretical LSH-based data distribution models in P2P networks for ...