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CVPR
2007
IEEE
16 years 21 days ago
Hierarchical Structuring of Data on Manifolds
Manifold learning methods are promising data analysis tools. However, if we locate a new test sample on the manifold, we have to find its embedding by making use of the learned e...
Jun Li, Pengwei Hao
CIKM
2005
Springer
15 years 12 months ago
Compact reachability labeling for graph-structured data
Testing reachability between nodes in a graph is a well-known problem with many important applications, including knowledge representation, program analysis, and more recently, bi...
Hao He, Haixun Wang, Jun Yang 0001, Philip S. Yu
CSFW
1998
IEEE
15 years 10 months ago
Data Level Inference Detection in Database Systems
Existing work on inference detection for database systems mainly employ functional dependencies in the database schema to detect inferences. It has been noticed that analyzing the...
Raymond W. Yip, Karl N. Levitt
ICALP
1994
Springer
15 years 10 months ago
Simple Fast Parallel Hashing
A hash table is a representation of a set in a linear size data structure that supports constanttime membership queries. We show how to construct a hash table for any given set of...
Joseph Gil, Yossi Matias
ACIVS
2006
Springer
16 years 10 days ago
A Comparison of Nearest Neighbor Search Algorithms for Generic Object Recognition
The nearest neighbor (NN) classifier is well suited for generic object recognition. However, it requires storing the complete training data, and classification time is linear in ...
Ferid Bajramovic, Frank Mattern, Nicholas Butko, J...