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» Self-taught hashing for fast similarity search
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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
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...
CVPR
2010
IEEE
14 years 18 days ago
SPEC Hashing: Similarity Preserving algorithm for Entropy-based Coding
Searching approximate nearest neighbors in large scale high dimensional data set has been a challenging problem. This paper presents a novel and fast algorithm for learning binary...
Ruei-Sung Lin, David Ross, Jay Yagnik
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 ...
NOMS
2008
IEEE
139views Communications» more  NOMS 2008»
13 years 11 months ago
Fast similarity search in peer-to-peer networks
Abstract—Peer-to-peer (P2P) systems show numerous advantages over centralized systems, such as load balancing, scalability, and fault tolerance, and they require certain function...
Thomas Bocek, Ela Hunt, David Hausheer, Burkhard S...