… the a posteriori probability given by Bayes rule, using … Bayesian approach to face recognition
is possibly the first instance of a non-Euclidean similarity measure used in face recognition …

… of face recognition and image retrieval, using a probabilistic measure of similarity based on
a Bayesian (MAP… 1996 FERETface recognition competition, in which this Bayesian matching …

… Bayesian face recognition methods, a simple prior on face representation cannot cover large
variations in facial … approach to learn the face prior for Bayesian face recognition. First, we …

… recognition that has been successfully applied to adult face perception. Here, I use a …
algorithm for Bayesian face recognition to study how the acquisition of experience in face-space …

… In this paper, we propose a new face recognition approach combining a Bayesian
probabilistic model and Gabor filter responses. Since both the Bayesian algorithm and the Gabor …

… In this section, we first provide a brief review of the SVM and Bayesian face recognition.
We then develop the direct Bayesian SVM and the one-versus-all Bayesian SVM. …

… Additionally, this Bayesian formulation casts a face recognition task into a classical binary
… in our Bayesian approach. To quantify this tradeoff, we repeated the probe set recognition …

… In this section, we first briefly review the support vector machine [6] and Bayesian face
recognition [5]. We then develop the direct Bayesian SVM and the oneversus-all Bayesian SVM. …

… In this paper, we extend the Bayesian face recognition into Gaussian mixture models.
The complex intrapersonal variation manifold is learnt by a set of local linear intrapersonal …

… In this paper, we have revisited the classic Bayesian face recognition and proposed a joint
… evaluations shows that the classic Bayesian face recognition is still highly competitive and …