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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»
15 years 4 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»
14 years 11 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
89
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SAC
2005
ACM
15 years 5 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
16 years 18 days 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
14 years 11 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