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KDD
2008
ACM
172views Data Mining» more  KDD 2008»
14 years 8 months ago
Structured metric learning for high dimensional problems
The success of popular algorithms such as k-means clustering or nearest neighbor searches depend on the assumption that the underlying distance functions reflect domain-specific n...
Jason V. Davis, Inderjit S. Dhillon
BTW
2003
Springer
118views Database» more  BTW 2003»
14 years 1 months ago
Information System Architectures: From Art to Science
: The presentation claims that architectural design plays a crucial role in system development as a first step in a process that turns a requirements specification into a working s...
Peter C. Lockemann
VLDB
1997
ACM
120views Database» more  VLDB 1997»
14 years 17 days ago
A Region Splitting Strategy for Physical Database Design of Multidimensional File Organizations
This paper presents a region splitting strategy for physical database design of multidimensional le organizations. Physical database design is the process of determining the optim...
Jong-Hak Lee, Young-Koo Lee, Kyu-Young Whang, Il-Y...
ENTCS
2007
153views more  ENTCS 2007»
13 years 8 months ago
The Methods of Approximation and Lifting in Real Computation
The basic motivation behind this work is to tie together various computational complexity classes, whether over different domains such as the naturals or the reals, or whether de...
Manuel Lameiras Campagnolo, Kerry Ojakian
TVCG
2008
192views more  TVCG 2008»
13 years 8 months ago
Anisotropic Noise Samples
We present a practical approach to generate stochastic anisotropic samples with Poisson-disk characteristic over a two-dimensional domain. In contrast to isotropic samples, we unde...
Louis Feng, Ingrid Hotz, Bernd Hamann, Kenneth I. ...