64 search results - page 4 / 13 » Probabilistic Tracking with Adaptive Feature Selection |
ISBI
2004
IEEE
14 years 8 months ago
2004
IEEE
A novel statistical scheme for the automatic detection and tracking in time of relapsing-remitting multiple sclerosis (MS) lesions in image sequences is described. Coherent space-...
TASLP
2011
13 years 2 months ago
2011
—We present a simple and efficient feature modeling approach for tracking the pitch of two simultaneously active speakers. We model the spectrogram features of single speakers u...
ISRR
2001
Springer
14 years 1 days ago
2001
Springer
Most of current machine vision systems suffer from a lack of flexibility to account for the high variability of unstructured environments. Here, as the state of the world evolves ...
GECCO
2006
Springer
13 years 11 months ago
2006
Springer
This paper extends the Boltzmann Selection, a method in EDA with theoretical importance, from discrete domain to the continuous one. The difficulty of estimating the exact Boltzma...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
Online Boosting is an effective incremental learning method which can update weak classifiers efficiently according to the object being trackedt. It is a promising technique for o...