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» On Bounded Queries and Approximation
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VLDB
2006
ACM
190views Database» more  VLDB 2006»
15 years 10 months ago
Online summarization of dynamic time series data
Managing large-scale time series databases has attracted significant attention in the database community recently. Related fundamental problems such as dimensionality reduction, tr...
Ümit Y. Ogras, Hakan Ferhatosmanoglu
ICDE
2012
IEEE
343views Database» more  ICDE 2012»
13 years 10 days ago
Bi-level Locality Sensitive Hashing for k-Nearest Neighbor Computation
We present a new Bi-level LSH algorithm to perform approximate k-nearest neighbor search in high dimensional spaces. Our formulation is based on a two-level scheme. In the first ...
Jia Pan, Dinesh Manocha
INDOCRYPT
2003
Springer
15 years 3 months ago
Stronger Security Bounds for OMAC, TMAC, and XCBC
OMAC, TMAC and XCBC are CBC-type MAC schemes which are provably secure for arbitrary message length. In this paper, we present a more tight upper bound on Advmac for each scheme, w...
Tetsu Iwata, Kaoru Kurosawa
SISAP
2008
IEEE
188views Data Mining» more  SISAP 2008»
15 years 4 months ago
High-Dimensional Similarity Retrieval Using Dimensional Choice
There are several pieces of information that can be utilized in order to improve the efficiency of similarity searches on high-dimensional data. The most commonly used information...
Dave Tahmoush, Hanan Samet
TKDE
2008
162views more  TKDE 2008»
14 years 9 months ago
Continuous k-Means Monitoring over Moving Objects
Given a dataset P, a k-means query returns k points in space (called centers), such that the average squared distance between each point in P and its nearest center is minimized. S...
Zhenjie Zhang, Yin Yang, Anthony K. H. Tung, Dimit...