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A survey of face recognition techniques
Face recognition presents a challenging problem in the field of image analysis and
computer vision, and as such has received a great deal of attention over the last few years …
computer vision, and as such has received a great deal of attention over the last few years …
A* Prune: an algorithm for finding K shortest paths subject to multiple constraints
G Liu, KG Ramakrishnan - … Annual Joint Conference of the IEEE …, 2001 - ieeexplore.ieee.org
We present a new algorithm, A* Prune, to list (in order of increasing length) the first K
multiple-constrained-shortest-path (KMCSP) between a given pair of nodes in a digraph in …
multiple-constrained-shortest-path (KMCSP) between a given pair of nodes in a digraph in …
Generalized Choquet integral for face recognition
In this study, we introduce a recent multicriteria decision theory concept of a new,
generalized form of Choquet integral function and its application, in particular to the problem …
generalized form of Choquet integral function and its application, in particular to the problem …
Computational intelligence-based biometric technologies
Computational intelligence (CI) technologies are robust, can be successfully applied to
complex problems, are efficiently adaptive, and usually have a parallel computational …
complex problems, are efficiently adaptive, and usually have a parallel computational …
PCA based immune networks for human face recognition
This paper proposes a face recognition method using artificial immune networks based on
principal component analysis (PCA). The PCA abstracts principal eigenvectors of the image …
principal component analysis (PCA). The PCA abstracts principal eigenvectors of the image …
Facial expression recognition using neural networks and log-gabor filters
This study proposes a classification-based facial expression recognition method using a
bank of multilayer perceptron neural networks. Six different facial expressions were …
bank of multilayer perceptron neural networks. Six different facial expressions were …
A comprehensive experimental comparison of the aggregation techniques for face recognition
In face recognition, one of the most important problems to tackle is a large amount of data
and the redundancy of information contained in facial images. There are numerous …
and the redundancy of information contained in facial images. There are numerous …
Face recognition by using neural network classifiers based on PCA and LDA
BJ Oh - 2005 IEEE International Conference on Systems, Man …, 2005 - ieeexplore.ieee.org
This paper proposes a face recognition method using neural network classifiers based on
principal component analysis (PCA) and linear discriminant analysis (LDA). The PCA or …
principal component analysis (PCA) and linear discriminant analysis (LDA). The PCA or …
Face detection by color and multilayer feedforward neural network
C Lin - 2005 IEEE International Conference on Information …, 2005 - ieeexplore.ieee.org
In this paper, we introduce a novel approach for automatic detection of human faces
embedded in dissimilar lighting. The proposed system consists of two primary parts. The first …
embedded in dissimilar lighting. The proposed system consists of two primary parts. The first …
Generalizations of aggregation functions for face recognition
The problem of aggregation of the classification results is one of the most important task in
image recognition or decision-making theory. There are many approaches to solve this …
image recognition or decision-making theory. There are many approaches to solve this …