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A multi-agent system for the classification of gender and age from images
The automatic classification of human images on the basis of age range and gender can be
used in audiovisual content adaptation for Smart TVs or marquee advertising. Knowledge …
used in audiovisual content adaptation for Smart TVs or marquee advertising. Knowledge …
Classification and gender recognition from veiled-faces
This study aims to investigate to what extent a computer system can identify veiled-human
and recognise gender using eyes and the uncovered part of the face. For the purpose of this …
and recognise gender using eyes and the uncovered part of the face. For the purpose of this …
Human face identification using lbp and haar-like features for real time attendance monitoring
Real time attendance monitoring is the essential requirement in modern era to improve the
work efficiency for all private and public organization. There happens to be a number of …
work efficiency for all private and public organization. There happens to be a number of …
Pose‐invariant face recognition using curvelet neural network
A novel pose‐invariant face recognition method is proposed by combining curvelet‐invariant
moments with curvelet neural network. First a special set of statistical coefficients using …
moments with curvelet neural network. First a special set of statistical coefficients using …
A face detection and location method based on feature binding
J **, B Xu, X Liu, Y Wang, L Cao, L Han… - Signal Processing …, 2015 - Elsevier
A face detection and location method based on Feature Binding (FB) is proposed in this
paper. The features used for face detection and location are classified and bound into …
paper. The features used for face detection and location are classified and bound into …
A polynomial kernel neural network classifier based on random sampling and information gain
In this paper, we propose a polynomial kernel neural network classifier (PKNNC) based on
the random sampling and information gain. Random sampling is used here to generate …
the random sampling and information gain. Random sampling is used here to generate …
Face recognition from video using generalized mean deep learning neural network
Proposed algorithm is a face recognition algorithm from video using Generalized mean
Deep Learning Neural Network. Generalized mean provides fast convergence of the feature …
Deep Learning Neural Network. Generalized mean provides fast convergence of the feature …
Single sample description based on Gabor fusion
T Chen, T Gao, X Zhao - IET Image Processing, 2019 - Wiley Online Library
Owing to lack of enough face image and invalidation of many traditional face recognition
algorithms, face recognition with single training sample is really a great challenge. To solve …
algorithms, face recognition with single training sample is really a great challenge. To solve …
LBP-like feature based on Gabor wavelets for face recognition
WJ Li, J Wang, ZH Huang, T Zhang… - International Journal of …, 2017 - World Scientific
The robust feature extraction method for face representation is an important issue in face
recognition. In this paper, we extract a new kind of feature through applying the idea of local …
recognition. In this paper, we extract a new kind of feature through applying the idea of local …
Hybrid multidimensional wavelet-neuro-system and its learning using cross entropy cost function in pattern recognition
In this paper, the hybrid multidimensional wavelet-neuro-system for pattern recognition tasks
is proposed. Also learning algorithm for all its parameters (synaptic weights, the centers, and …
is proposed. Also learning algorithm for all its parameters (synaptic weights, the centers, and …