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ECCV
2010
Springer
13 years 10 months ago
Fast Approximate Nearest Neighbor Methods for Non-Euclidean Manifolds with Applications to Human Activity Analysis in Videos
Approximate Nearest Neighbor (ANN) methods such as Locality Sensitive Hashing, Semantic Hashing, and Spectral Hashing, provide computationally ecient procedures for nding objects...
Rizwan Chaudhry, Yuri Ivanov
GLOBECOM
2008
IEEE
13 years 11 months ago
A Dynamic Load-Balanced Hashing Scheme for Networking Applications
Abstract—Network applications often require large data storage resources, fast queries, and frequent updates. Hash tables support these operations with low costs, yet they cannot...
N. Sertac Artan, Haowei Yuan, H. Jonathan Chao
PARBASE
1990
69views more  PARBASE 1990»
13 years 6 months ago
A Vectorization Technique of Hashing and Its Application to Several Sorting Algorithms
This paper presents a vectorized algorithm for entering data into a hash table. A program that enters multiple data could not be executed on vector processors by conventional vect...
Yasusi Kanada
SIGIR
2012
ACM
11 years 7 months ago
Boosting multi-kernel locality-sensitive hashing for scalable image retrieval
Similarity search is a key challenge for multimedia retrieval applications where data are usually represented in high-dimensional space. Among various algorithms proposed for simi...
Hao Xia, Pengcheng Wu, Steven C. H. Hoi, Rong Jin
TPDS
1998
122views more  TPDS 1998»
13 years 4 months ago
Managing Statistical Behavior of Large Data Sets in Shared-Nothing Architectures
—Increasingly larger data sets are being stored in networked architectures. Many of the available data structures are not easily amenable to parallel realizations. Hashing scheme...
Isidore Rigoutsos, Alex Delis