Sciweavers

21 search results - page 4 / 5
» Adaptive block-based approach to image stabilization
Sort
View
BMCBI
2004
208views more  BMCBI 2004»
13 years 5 months ago
Hybrid clustering for microarray image analysis combining intensity and shape features
Background: Image analysis is the first crucial step to obtain reliable results from microarray experiments. First, areas in the image belonging to single spots have to be identif...
Jörg Rahnenführer, Daniel Bozinov
CORR
2006
Springer
99views Education» more  CORR 2006»
13 years 5 months ago
Statistical mechanics of neocortical interactions: Portfolio of Physiological Indicators
There are several kinds of non-invasive imaging methods that are used to collect data from the brain, e.g., EEG, MEG, PET, SPECT, fMRI, etc. It is difficult to get resolution of i...
Lester Ingber
ICASSP
2011
IEEE
12 years 9 months ago
Langevin and hessian with fisher approximation stochastic sampling for parameter estimation of structured covariance
We have studied two efficient sampling methods, Langevin and Hessian adapted Metropolis Hastings (MH), applied to a parameter estimation problem of the mathematical model (Lorent...
Cornelia Vacar, Jean-François Giovannelli, ...
IJRR
2007
335views more  IJRR 2007»
13 years 5 months ago
Homography-based 2D Visual Tracking and Servoing
The objective of this paper is to propose a new homography-based approach to image-based visual tracking and servoing. The visual tracking algorithm proposed in the paper is based...
Selim Benhimane, Ezio Malis
PR
2008
123views more  PR 2008»
13 years 5 months ago
Extensions of vector quantization for incremental clustering
In this paper, we extend the conventional vector quantization by incorporating a vigilance parameter, which steers the tradeoff between plasticity and stability during incremental...
Edwin Lughofer