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» Comparing Massive High-Dimensional Data Sets
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KDD
1998
ACM
166views Data Mining» more  KDD 1998»
13 years 9 months ago
Comparing Massive High-Dimensional Data Sets
Theodore Johnson, Tamraparni Dasu
SIGMOD
2001
ACM
193views Database» more  SIGMOD 2001»
14 years 5 months ago
Epsilon Grid Order: An Algorithm for the Similarity Join on Massive High-Dimensional Data
The similarity join is an important database primitive which has been successfully applied to speed up applications such as similarity search, data analysis and data mining. The s...
Christian Böhm, Bernhard Braunmüller, Fl...
SIAMSC
2008
159views more  SIAMSC 2008»
13 years 4 months ago
Hierarchical Clustering of Massive, High Dimensional Data Sets by Exploiting Ultrametric Embedding
Coding of data, usually upstream of data analysis, has crucial implications for the data analysis results. By modifying the data coding
Fionn Murtagh, Geoff Downs, Pedro Contreras
CIKM
2000
Springer
13 years 9 months ago
Vector Approximation based Indexing for Non-uniform High Dimensional Data Sets
With the proliferation of multimedia data, there is increasing need to support the indexing and searching of high dimensional data. Recently, a vector approximation based techniqu...
Hakan Ferhatosmanoglu, Ertem Tuncel, Divyakant Agr...
ICCV
2007
IEEE
14 years 6 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...