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» A New Indexing Method for High Dimensional Dataset
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ICDM
2002
IEEE
159views Data Mining» more  ICDM 2002»
14 years 1 months ago
O-Cluster: Scalable Clustering of Large High Dimensional Data Sets
Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...
Boriana L. Milenova, Marcos M. Campos
TIP
2008
177views more  TIP 2008»
13 years 8 months ago
Visual Tracking in High-Dimensional State Space by Appearance-Guided Particle Filtering
Abstract--In this paper, we propose a new approach, appearance-guided particle filtering (AGPF), for high degree-of-freedom visual tracking from an image sequence. This method adop...
Wen-Yan Chang, Chu-Song Chen, Yong-Dian Jian
SAC
2005
ACM
14 years 2 months ago
An information theoretic histogram for single dimensional selectivity estimation
: We study the problem of one dimensional selectivity estimation in relational databases. We introduce a new type of histogram based on information theory. We compare our histogram...
Chris Giannella, Bassem Sayrafi
IPMI
2007
Springer
14 years 9 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
KES
2006
Springer
13 years 8 months ago
Genetic-Fuzzy Modeling on High Dimensional Spaces
In this paper, in order to reduce the explosive increase of the search space as the input dimension grows, we present a new representation method for the structure of fuzzy rules, ...
Joon-Min Gil, SeongHoon Lee