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ICDE
1997
IEEE
130views Database» more  ICDE 1997»
14 years 6 months ago
High-Dimensional Similarity Joins
Many emerging data mining applications require a similarity join between points in a high-dimensional domain. We present a new algorithm that utilizes a new index structure, calle...
Kyuseok Shim, Ramakrishnan Srikant, Rakesh Agrawal
ICDE
2001
IEEE
180views Database» more  ICDE 2001»
14 years 6 months ago
Distinctiveness-Sensitive Nearest Neighbor Search for Efficient Similarity Retrieval of Multimedia Information
Nearest neighbor (NN) search in high dimensional feature space is widely used for similarity retrieval of multimedia information. However, recent research results in the database ...
Norio Katayama, Shin'ichi Satoh
VLDB
2000
ACM
114views Database» more  VLDB 2000»
13 years 8 months ago
The A-tree: An Index Structure for High-Dimensional Spaces Using Relative Approximation
We propose a novel index structure, A-tree (Approximation tree), for similarity search of high-dimensional data. The basic idea of the
Yasushi Sakurai, Masatoshi Yoshikawa, Shunsuke Uem...
IPMI
2007
Springer
14 years 6 months ago
High-Dimensional Entropy Estimation for Finite Accuracy Data: R-NN Entropy Estimator
Abstract. We address the problem of entropy estimation for highdimensional finite-accuracy data. Our main application is evaluating high-order mutual information image similarity c...
Jan Kybic
ICCV
2007
IEEE
14 years 7 months ago
3D Variational Brain Tumor Segmentation using a High Dimensional Feature Set
Tumor segmentation from MRI data is an important but time consuming task performed manually by medical experts. Automating this process is challenging due to the high diversity in...
Albert Murtha, Dana Cobzas, Mark Schmidt, Martin J...