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PR
2007
107views more  PR 2007»
13 years 8 months ago
Newtonian clustering: An approach based on molecular dynamics and global optimization
Given a data set, a dynamical procedure is applied to the data points in order to shrink and separate, possibly overlapping clusters. Namely, Newton’s equations of motion are em...
Konstantinos Blekas, Isaac E. Lagaris
PAMI
2010
180views more  PAMI 2010»
13 years 3 months ago
Point Set Registration via Particle Filtering and Stochastic Dynamics
In this paper, we propose a particle filtering approach for the problem of registering two point sets that differ by a rigid body transformation. Typically, registration algorithms...
Romeil Sandhu, Samuel Dambreville, Allen Tannenbau...
CEC
2008
IEEE
14 years 3 months ago
Reduced polynomial neural swarm net for classification task in data mining
—In this paper, we proposed a reduced polynomial neural swarm net (RPNSN) for the task of classification. Classification task is one of the most studied tasks of data mining. In ...
Bijan Bihari Misra, Satchidananda Dehuri, Pradipta...
DAGM
2007
Springer
14 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
APVIS
2009
13 years 10 months ago
Optimized data transfer for time-dependent, GPU-based glyphs
Particle-based simulations are a popular tool for researchers in various sciences. In combination with the availability of ever larger COTS clusters and the consequently increasin...
Sebastian Grottel, Guido Reina, Thomas Ertl