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» INSPIRE: A New Method of Mapping Information Spaces
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EDBT
2009
ACM
184views Database» more  EDBT 2009»
16 years 1 months 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
WEBI
2007
Springer
16 years 11 days ago
Pairwise Constraints-Guided Non-negative Matrix Factorization for Document Clustering
Nonnegative Matrix Factorization (NMF) has been proven to be effective in text mining. However, since NMF is a well-known unsupervised components analysis technique, the existing ...
Yujiu Yang, Bao-Gang Hu
SISAP
2010
IEEE
149views Data Mining» more  SISAP 2010»
15 years 4 months ago
On applications of parameterized hyperplane partitioning
The efficient similarity search in metric spaces is usually based on several low-level partitioning principles, which allow filtering of non-relevant objects during the search. I...
Jakub Lokoc, Tomás Skopal
ICCV
2007
IEEE
16 years 18 days ago
3-D Metric Reconstruction and Registration of Images of Near-planar Surfaces
In this study, we address the problem of 3-D dense metric reconstruction and registration from multiple images, given that the observed surface is nearly planar. This is difficult...
Tae Eun Choe, Gérard G. Medioni
TVCG
2010
147views more  TVCG 2010»
15 years 4 months ago
Superquadric Glyphs for Symmetric Second-Order Tensors
—Symmetric second-order tensor fields play a central role in scientific and biomedical studies as well as in image analysis and feature-extraction methods. The utility of displ...
Thomas Schultz, Gordon L. Kindlmann