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ICDE
2007
IEEE
228views Database» more  ICDE 2007»
14 years 1 months ago
A General Cost Model for Dimensionality Reduction in High Dimensional Spaces
Similarity search usually encounters a serious problem in the high dimensional space, known as the “curse of dimensionality”. In order to speed up the retrieval efficiency, p...
Xiang Lian, Lei Chen 0002
ESORICS
2008
Springer
13 years 9 months ago
State Space Reduction in the Maude-NRL Protocol Analyzer
The Maude-NRL Protocol Analyzer (Maude-NPA) is a tool and inference system for reasoning about the security of cryptographic protocols in which the cryptosystems satisfy different ...
Santiago Escobar, Catherine Meadows, José M...
TSP
2010
13 years 2 months ago
Low-complexity decoding via reduced dimension maximum-likelihood search
In this paper, we consider a low-complexity detection technique referred to as a reduced dimension maximum-likelihood search (RD-MLS). RD-MLS is based on a partitioned search which...
Jun Won Choi, Byonghyo Shim, Andrew C. Singer, Nam...
PODS
2001
ACM
190views Database» more  PODS 2001»
14 years 7 months ago
On the Effects of Dimensionality Reduction on High Dimensional Similarity Search
The dimensionality curse has profound e ects on the effectiveness of high-dimensional similarity indexing from the performance perspective. One of the well known techniques for im...
Charu C. Aggarwal
ICDE
2009
IEEE
135views Database» more  ICDE 2009»
14 years 9 months ago
Space-Constrained Gram-Based Indexing for Efficient Approximate String Search
Abstract-- Answering approximate queries on string collections is important in applications such as data cleaning, query relaxation, and spell checking, where inconsistencies and e...
Alexander Behm, Shengyue Ji, Chen Li, Jiaheng Lu