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SIGMOD
2010
ACM
324views Database» more  SIGMOD 2010»
14 years 3 months ago
Similarity search and locality sensitive hashing using ternary content addressable memories
Similarity search methods are widely used as kernels in various data mining and machine learning applications including those in computational biology, web search/clustering. Near...
Rajendra Shinde, Ashish Goel, Pankaj Gupta, Debojy...
ECCV
2010
Springer
14 years 4 months ago
Randomized Locality Sensitive Vocabularies for Bag-of-Features Model
Abstract. Visual vocabulary construction is an integral part of the popular Bag-of-Features (BOF) model. When visual data scale up (in terms of the dimensionality of features or/an...
ICPP
2008
IEEE
14 years 5 months ago
Bounded LSH for Similarity Search in Peer-to-Peer File Systems
Similarity search has been widely studied in peer-to-peer environments. In this paper, we propose the Bounded Locality Sensitive Hashing (Bounded LSH) method for similarity search...
Yu Hua, Bin Xiao, Dan Feng, Bo Yu
CVPR
2010
IEEE
14 years 4 months ago
Weakly-Supervised Hashing in Kernel Space
The explosive growth of the vision data motivates the recent studies on efficient data indexing methods such as locality-sensitive hashing (LSH). Most existing approaches perform...
Yadong Mu, Jialie Shen, Shuicheng Yan
SIGMOD
2012
ACM
209views Database» more  SIGMOD 2012»
12 years 1 months ago
Locality-sensitive hashing scheme based on dynamic collision counting
Locality-Sensitive Hashing (LSH) and its variants are wellknown methods for solving the c-approximate NN Search problem in high-dimensional space. Traditionally, several LSH funct...
Junhao Gan, Jianlin Feng, Qiong Fang, Wilfred Ng