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MICAI
2005
Springer
14 years 1 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
2011
ACM
231views Database» more  EDBT 2011»
12 years 11 months ago
Data integration with dependent sources
Data integration systems offer users a uniform interface to a set of data sources. Previous work has typically assumed that the data sources are independent of each other; however...
Anish Das Sarma, Xin Luna Dong, Alon Y. Halevy
ASUNAM
2011
IEEE
12 years 7 months ago
Probabilistic Subgraph Matching on Huge Social Networks
—Users querying massive social networks or RDF databases are often not 100% certain about what they are looking for due to the complexity of the query or heterogeneity of the dat...
Matthias Bröcheler, Andrea Pugliese, V. S. Su...
NIPS
2004
13 years 9 months ago
An Investigation of Practical Approximate Nearest Neighbor Algorithms
This paper concerns approximate nearest neighbor searching algorithms, which have become increasingly important, especially in high dimensional perception areas such as computer v...
Ting Liu, Andrew W. Moore, Alexander G. Gray, Ke Y...
CIKM
2003
Springer
14 years 29 days ago
Dimensionality reduction using magnitude and shape approximations
High dimensional data sets are encountered in many modern database applications. The usual approach is to construct a summary of the data set through a lossy compression technique...
Ümit Y. Ogras, Hakan Ferhatosmanoglu