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» Scalable similarity search with optimized kernel hashing
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SIGMOD
2010
ACM
324views Database» more  SIGMOD 2010»
13 years 9 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...
EDBT
2009
ACM
277views Database» more  EDBT 2009»
13 years 9 months ago
G-hash: towards fast kernel-based similarity search in large graph databases
Structured data including sets, sequences, trees and graphs, pose significant challenges to fundamental aspects of data management such as efficient storage, indexing, and simila...
Xiaohong Wang, Aaron M. Smalter, Jun Huan, Gerald ...
SIGIR
2010
ACM
13 years 8 months ago
Self-taught hashing for fast similarity search
The ability of fast similarity search at large scale is of great importance to many Information Retrieval (IR) applications. A promising way to accelerate similarity search is sem...
Dell Zhang, Jun Wang, Deng Cai, Jinsong Lu
IPPS
2007
IEEE
13 years 10 months ago
A Landmark-based Index Architecture for General Similarity Search in Peer-to-Peer Networks
The indexing of complex data and similarity search plays an important role in many application areas. Traditional centralized index structure can not scale with the rapid prolifer...
Xiaoyu Yang, Yiming Hu
BIOCOMP
2007
13 years 5 months ago
Quality-Based Similarity Search for Biological Sequence Databases
Low-Complexity Regions (LCRs) of biological sequences are the main source of false positives in similarity searches for biological sequence databases. We consider the problem of ...
Xuehui Li, Tamer Kahveci