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» On distance and similarity in fold space
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ICDE
2000
IEEE
168views Database» more  ICDE 2000»
15 years 10 months ago
PAC Nearest Neighbor Queries: Approximate and Controlled Search in High-Dimensional and Metric Spaces
In high-dimensional and complex metric spaces, determining the nearest neighbor (NN) of a query object ? can be a very expensive task, because of the poor partitioning operated by...
Paolo Ciaccia, Marco Patella
ICPR
2000
IEEE
15 years 10 months ago
A Weighted Distance Approach to Relevance Feedback
Content-based image retrievalsystems use low-levelfeatures like color and texturefor image representation. Given these representationsasfeature vectors, similarity between images ...
Selim Aksoy, Robert M. Haralick, Faouzi Alaya Chei...
ICDE
2007
IEEE
165views Database» more  ICDE 2007»
15 years 10 months ago
Distance Based Subspace Clustering with Flexible Dimension Partitioning
Traditional similarity or distance measurements usually become meaningless when the dimensions of the datasets increase, which has detrimental effects on clustering performance. I...
Guimei Liu, Jinyan Li, Kelvin Sim, Limsoon Wong
PRESENCE
2010
181views more  PRESENCE 2010»
14 years 4 months ago
The Effect of Viewing a Self-Avatar on Distance Judgments in an HMD-Based Virtual Environment
Few HMD-based virtual environment systems display a rendering of the user's own body. Subjectively, this often leads to a sense of disembodiment in the virtual world. We expl...
Betty J. Mohler, Sarah H. Creem-Regehr, William B....
SDM
2007
SIAM
182views Data Mining» more  SDM 2007»
14 years 11 months ago
Distance Preserving Dimension Reduction for Manifold Learning
Manifold learning is an effective methodology for extracting nonlinear structures from high-dimensional data with many applications in image analysis, computer vision, text data a...
Hyunsoo Kim, Haesun Park, Hongyuan Zha