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ML
2010
ACM
112views Machine Learning» more  ML 2010»
14 years 8 months ago
Bayesian generalized probability calculus for density matrices
Manfred K. Warmuth, Dima Kuzmin
ARTMED
2004
118views more  ARTMED 2004»
14 years 9 months ago
Bayesian fluorescence in situ hybridisation signal classification
Previous research has indicated the significance of accurate classification of fluorescence in situ hybridisation (FISH) signals for the detection of genetic abnormalities. Based ...
Boaz Lerner
MCS
2000
Springer
15 years 1 months ago
Analysis of a Fusion Method for Combining Marginal Classifiers
The use of multiple features by a classifier often leads to a reduced probability of error, but the design of an optimal Bayesian classifier for multiple features is dependent on t...
Mark D. Happel, Peter Bock
CSDA
2006
142views more  CSDA 2006»
14 years 9 months ago
A Bayesian approach to bandwidth selection for multivariate kernel density estimation
: Kernel density estimation for multivariate data is an important technique that has a wide range of applications. However, it has received significantly less attention than its un...
Xibin Zhang, Maxwell L. King, Rob J. Hyndman
CVPR
2004
IEEE
15 years 12 months ago
Incremental Density Approximation and Kernel-Based Bayesian Filtering for Object Tracking
Statistical density estimation techniques are used in many computer vision applications such as object tracking, background subtraction, motion estimation and segmentation. The pa...
Bohyung Han, Dorin Comaniciu, Ying Zhu, Larry S. D...