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ICPR
2010
IEEE
15 years 1 months ago
Probabilistic Clustering Using the Baum-Eagon Inequality
The paper introduces a framework for clustering data objects in a similarity-based context. The aim is to cluster objects into a given number of classes without imposing a hard pa...
Samuel Rota Bulo', Marcello Pelillo
JORS
2011
67views more  JORS 2011»
14 years 4 months ago
Robust parameter design optimization of simulation experiments using stochastic perturbation methods
Stochastic perturbation methods can be applied to problems for which either the objective function is represented analytically, or the objective function is the result of a simula...
A. K. Miranda, E. Del Castillo
CVPR
2007
IEEE
15 years 11 months ago
Detection and segmentation of moving objects in highly dynamic scenes
Detecting and segmenting moving objects in dynamic scenes is a hard but essential task in a number of applications such as surveillance. Most existing methods only give good resul...
Aurélie Bugeau, Patrick Pérez
EUSFLAT
2007
152views Fuzzy Logic» more  EUSFLAT 2007»
14 years 11 months ago
Object Oriented Approach in Fuzzy Arithmetic Using Parametric Representation of Fuzzy Numbers
Parametric representation of fuzzy numbers (PFN) with derived methods for performing fuzzy arithmetic proves to have better accuracy and similar computational speed to using trian...
Frantisek Hunka
87
Voted
DAGM
2007
Springer
15 years 3 months ago
Clustered Stochastic Optimization for Object Recognition and Pose Estimation
We present an approach for estimating the 3D position and in case of articulated objects also the joint configuration from segmented 2D images. The pose estimation without initial...
Juergen Gall, Bodo Rosenhahn, Hans-Peter Seidel