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158
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TREC
1996
15 years 8 months ago
Metric Multidimensional Information Space
Gregory B. Newby
ICML
2003
IEEE
16 years 8 months ago
Learning Metrics via Discriminant Kernels and Multidimensional Scaling: Toward Expected Euclidean Representation
Distance-based methods in machine learning and pattern recognition have to rely on a metric distance between points in the input space. Instead of specifying a metric a priori, we...
Zhihua Zhang
232
Voted
PODS
1998
ACM
152views Database» more  PODS 1998»
15 years 11 months ago
A Cost Model for Similarity Queries in Metric Spaces
We consider the problem of estimating CPU (distance computations) and I/O costs for processing range and k-nearest neighbors queries over metric spaces. Unlike the specific case ...
Paolo Ciaccia, Marco Patella, Pavel Zezula
181
Voted
ADC
2003
Springer
127views Database» more  ADC 2003»
16 years 20 days ago
M+-tree : A New Dynamical Multidimensional Index for Metric Spaces
In this paper, we propose a new metric index, called M+ -tree, which is a tree dynamically organized for large datasets in metric spaces. The proposed M+ -tree takes full advantag...
Xiangmin Zhou, Guoren Wang, Jeffrey Xu Yu, Ge Yu
ISVC
2005
Springer
16 years 28 days ago
Hifocon: Object and Dimensional Coherence and Correlation in Multidimensional Visualization
In any multidimensional visualization, some information has to be compromised when projecting multidimensional data to two- or three-dimensional space. We introduce the concepts of...
Soon Tee Teoh, Kwan-Liu Ma