142 search results - page 1 / 29 » Combining VTS model compensation and support vector machines |
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
It is difficult to adapt discriminative classifiers, particularly kernel based ones such as support vector machines (SVMs), to handle mismatches between the training and test da...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
This article presents several techniques to combine between Support vector machines (SVM) and Joint Factor Analysis (JFA) model for speaker verification. In this combination, the...
ICPR
2000
IEEE
14 years 5 months ago
2000
IEEE
The paper presents results of the face verification contest that was organized in conjunction with International Conference on Pattern Recognition 2000 [14]. Participants had to u...
ICASSP
2011
IEEE
12 years 8 months ago
2011
IEEE
In this paper, we present the Gauss-Newton method as a unified approach to optimizing non-linear noise compensation models, such as vector Taylor series (VTS), data-driven parall...
ICCV
2007
IEEE
13 years 6 months ago
2007
IEEE
The analysis of facial expression temporal dynamics is of great importance for many real-world applications. Being able to automatically analyse facial muscle actions (Action Units...