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» A Half-Space Approach to Order Dimension
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SAC
2005
ACM
13 years 11 months ago
Estimating manifold dimension by inversion error
Video and image datasets can often be described by a small number of parameters, even though each image usually consists of hundreds or thousands of pixels. This observation is of...
Shawn Martin, Alex Bäcker
JDWM
2007
112views more  JDWM 2007»
13 years 5 months ago
Empowering the OLAP Technology to Support Complex Dimension Hierarchies
Comprehensive data analysis has become indispensable in a variety of domains. OLAP (On-Line Analytical Processing) systems tend to perform poorly or even fail when applied to comp...
Svetlana Mansmann, Marc H. Scholl
INFOVIS
1998
IEEE
13 years 9 months ago
Similarity Clustering of Dimensions for an Enhanced Visualization of Multidimensional Data
The order and arrangement of dimensions (variates) is crucial for the effectiveness of a large number of visualization techniques such as parallel coordinates, scatterplots, recur...
Mihael Ankerst, Stefan Berchtold, Daniel A. Keim
MICAI
2005
Springer
13 years 10 months ago
Proximity Searching in High Dimensional Spaces with a Proximity Preserving Order
Abstract. Kernel based methods (such as k-nearest neighbors classifiers) for AI tasks translate the classification problem into a proximity search problem, in a space that is usu...
Edgar Chávez, Karina Figueroa, Gonzalo Nava...
EDBT
2009
ACM
184views Database» more  EDBT 2009»
14 years 3 days ago
Distributed similarity search in high dimensions using locality sensitive hashing
In this paper we consider distributed K-Nearest Neighbor (KNN) search and range query processing in high dimensional data. Our approach is based on Locality Sensitive Hashing (LSH...
Parisa Haghani, Sebastian Michel, Karl Aberer