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» Similarity measures for multidimensional data
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137
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BMVC
2002
15 years 2 months ago
Adaptive Learning of Statistical Appearance Models for 3D Human Tracking
A likelihood formulation for human tracking is presented based upon matching feature statistics on the surface of an articulated 3D body model. A benefit of such a formulation ove...
Timothy J. Roberts, Stephen J. McKenna, Ian W. Ric...
106
Voted
IJON
2010
152views more  IJON 2010»
14 years 11 months ago
Adaptive local dissimilarity measures for discriminative dimension reduction of labeled data
Due to the tremendous increase of electronic information with respect to the size of data sets as well as their dimension, dimension reduction and visualization of high-dimensiona...
Kerstin Bunte, Barbara Hammer, Axel Wismüller...
89
Voted
VLUDS
2010
163views Visualization» more  VLUDS 2010»
14 years 7 months ago
Modeling and visualizing urban sprawl and carbon footprints in Phoenix metropolitan area
Urban planners are dealing with problems of urban sprawl and CO2 emissions. The multidimensional character of these phenomena requires new analysis and visualization tools that ar...
Sebastian Petsch, Subhrajit Guhathakurta, Hans Hag...
93
Voted
FSKD
2005
Springer
212views Fuzzy Logic» more  FSKD 2005»
15 years 6 months ago
Application of Fuzzy Similarity to Prediction of Epileptic Seizures Using EEG Signals
The prediction of epileptic seizures is a very attractive issue for all patients suffering from epilepsy in EEG (electroencephalograph) signals. It can assist to develop an interve...
Xiaoli Li, Xin Yao
BIODATAMINING
2008
96views more  BIODATAMINING 2008»
15 years 19 days ago
Fast approximate hierarchical clustering using similarity heuristics
Background: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that...
Meelis Kull, Jaak Vilo