427 search results - page 33 / 86 » Density Estimation: Nonparametric Techniques |
JUCS
2007
13 years 9 months ago
2007
: Motion estimation from image sequences is a complex problem which requires high computing resources and is highly affected by changes in the illumination conditions in most of th...
IROS
2009
IEEE
14 years 3 months ago
2009
IEEE
Abstract— In this paper we present a novel approach to estimating the trajectory of a robot by means of inexpensive passive RFID tags and odometry in unknown environments. We sho...
NIPS
2008
13 years 10 months ago
2008
In this paper we introduce the MeanNN approach for estimation of main information theoretic measures such as differential entropy, mutual information and divergence. As opposed to...
MICCAI
2009
Springer
14 years 10 months ago
2009
Springer
Probabilistic models are extensively used in medical image segmentation. Most of them employ parametric representations of densities and make idealizing assumptions, e.g. normal di...
ICCV
2009
IEEE
13 years 6 months ago
2009
IEEE
Many segmentation problems in medical imaging rely on accurate modeling and estimation of tissue intensity probability density functions. Gaussian mixture modeling, currently the ...