Sciweavers

20 search results - page 1 / 4
» Multi-sensor PHD: Construction and implementation by space p...
Sort
View
ICASSP
2011
IEEE
12 years 8 months ago
Multi-sensor PHD: Construction and implementation by space partitioning
The Probability Hypothesis Density (PHD) is a well-known method for single-sensor multi-target tracking problems in a Bayesian framework, but the extension to the multi-sensor cas...
Emmanuel Delande, Emmanuel Duflos, Philippe Vanhee...
CAD
2008
Springer
13 years 5 months ago
Improved Binary Space Partition merging
This paper presents a new method for evaluating boolean set operations between Binary Space Partition (BSP) trees. Our algorithm has many desirable features including both numeric...
Mikola Lysenko, Roshan D'Souza, Ching-Kuan Shene
ICIP
2009
IEEE
13 years 2 months ago
A contrario hierarchical image segmentation
Hierarchies are a powerful tool for image segmentation, they produce a multiscale representation which allows to design robust algorithms and can be stored in tree-like structures...
Juan Cardelino, Vicent Caselles, Marcelo Bertalm&i...
NN
2008
Springer
146views Neural Networks» more  NN 2008»
13 years 4 months ago
Clustering and co-evolution to construct neural network ensembles: An experimental study
This paper introduces an approach called Clustering and Co-evolution to Construct Neural Network Ensembles (CONE). This approach creates neural network ensembles in an innovative ...
Fernanda L. Minku, Teresa Bernarda Ludermir
NIPS
2007
13 years 6 months ago
Consistent Minimization of Clustering Objective Functions
Clustering is often formulated as a discrete optimization problem. The objective is to find, among all partitions of the data set, the best one according to some quality measure....
Ulrike von Luxburg, Sébastien Bubeck, Stefa...