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» Geometric Clustering Using the Information Bottleneck Method
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AVSS
2007
IEEE
15 years 4 months ago
Vehicular traffic density estimation via statistical methods with automated state learning
This paper proposes a novel approach of combining an unsupervised clustering scheme called AutoClass with Hidden Markov Models (HMMs) to determine the traffic density state in a R...
Evan Tan, Jing Chen
ADBIS
2007
Springer
143views Database» more  ADBIS 2007»
15 years 3 months ago
Aggregating Multiple Instances in Relational Database Using Semi-Supervised Genetic Algorithm-based Clustering Technique
In solving the classification problem in relational data mining, traditional methods, for example, the C4.5 and its variants, usually require data transformations from datasets sto...
Rayner Alfred, Dimitar Kazakov
68
Voted
JRTIP
2006
114views more  JRTIP 2006»
14 years 9 months ago
Sensor band selection for multispectral imaging via average normalized information
The information-rich scene descriptors created by multispectral sensors can act as a bottleneck in further analysis. Many of the spectral band selection methods treat the two under...
Hongzhi Wang, Elli Angelopoulou
ISBI
2007
IEEE
15 years 4 months ago
Automatic Segmentation of Nuclei in 3d Microscopy Images of C.Elegans
Automatic segmentation of nuclei in 3D microscopy images is essential for many biological studies including high throughput analysis of gene expression level, morphology, and phen...
Fuhui Long, Hanchuan Peng, Eugene W. Myers
CVPR
2009
IEEE
16 years 4 months ago
Multiphase Geometric Couplings for the Segmentation of Neural Processes
The ability to constrain the geometry of deformable models for image segmentation can be useful when information about the expected shape or positioning of the objects in a scene i...
Amelio Vázquez Reina, Eric Miller, Hanspete...