ICASSP
2011
IEEE
13 years 2 months ago
2011
IEEE
In this paper we first introduce four kinds of modification of Symmetric Scoring [1] which produce likelihood ratios that do not need to be explicitly normalized, i.e. T-norm, Z...
PAMI
2010
13 years 9 months ago
2010
The problem of biometric menagerie, first pointed out by Doddington et al. (1998), is one that plagues all biometric systems. They observe that only a handful of clients (enrolle...
ICASSP
2010
IEEE
13 years 11 months ago
2010
IEEE
We propose a new method to characterize a speaker within the Joint Factor Analysis (JFA) framework. Scoring within the JFA framework can be costly and a new method was proposed to...
AIRS
2006
Springer
14 years 2 months ago
2006
Springer
In data fusion, score normalization is a step to make scores, which are obtained from different component systems for all documents, comparable to each other. It is an indispensabl...
IWBRS
2005
Springer
14 years 4 months ago
2005
Springer
Abstract. This paper investigates the score normalization technique for enhancing the performance of face authentication. We firstly discuss the thresholding approach for face auth...
ICASSP
2008
IEEE
14 years 5 months ago
2008
IEEE
This paper deals with the interaction between progressive model adaptation and score normalization strategies which are used for reducing the variation in likelihood ratio scores ...
CIKM
2009
Springer
14 years 5 months ago
2009
Springer
Score normalization is indispensable in distributed retrieval and fusion or meta-search where merging of result-lists is required. Distributional approaches to score normalization...