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Article
Fully supervised contrastive learning in latent space for face presentation attack detection
The vulnerability of conventional face recognition systems to face presentation or face spoofing attacks has attracted a great deal of attention from information security, forensic, and biometric communities d...
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Article
Open AccessMulti-Kernel Fusion for RBF Neural Networks
A simple yet effective architectural design of radial basis function neural networks (RBFNN) makes them amongst the most popular conventional neural networks. The current generation of radial basis function ne...
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Article
A novel quantum calculus-based complex least mean square algorithm (q-CLMS)
The Least Mean Square (LMS) algorithm has a slow convergence rate as it is dependent on the eigenvalue spread of the input correlation matrix. In this research, we solved this problem by introducing a novel ad...
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Article
Efficient Time-Varying q-Parameter Design for q-Incremental Least Mean Square Algorithm with Noisy Links
The quantum calculus provides an extra degree of freedom to search the local and global minima by inducing a q-parameter. Motivated by this fact, a quantum calculus-based noisy links incremental least mean square...
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Article
Diffusion Quantum-Least Mean Square Algorithm with Steady-State Analysis
Diffusion least mean square (LMS) algorithm is a well-known algorithm for distributed estimation where estimation takes place at multiple nodes. However, it inherits slow convergence speed due to its gradient ...
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Article
Comments on “Design of fractional-order variants of complex LMS and NLMS algorithms for adaptive channel equalization”
The purpose of this note is to discuss some aspects of recently proposed fractional-order variants of complex least mean square (CLMS) and normalized least mean square (NLMS) algorithms in Shah et al. (Nonline...
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Chapter and Conference Paper
q-LMF: Quantum Calculus-Based Least Mean Fourth Algorithm
Herein, we a new class of stochastic gradient algorithm for identification. The proposed q-least mean fourth (q-LMF) is extension of the least mean fourth (LMF) and it is based on the q-calculus which is ...
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Article
Improved Optimum Error Nonlinearities Using Cramer–Rao Bound Estimation
In this paper, we propose an efficient design of optimum error nonlinearities (OENL) for adaptive filters which minimizes the steady-state excess mean square error and attains the limit mandated by the Cramer–...
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Article
Per capita income, trade openness, urbanization, energy consumption, and CO2 emissions: an empirical study on the SAARC Region
The develo** world in general is facing so many crucial problems including global warming in recent years. Global warming has multiple consequences on each segment of the society and therefore, its root caus...
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Article
Enhanced q-least Mean Square
In this work, a new class of stochastic gradient algorithm is developed based on q-calculus. Unlike the existing q-LMS algorithm, the proposed approach fully utilizes the concept of q-calculus by incorporating a ...
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Article
A Fractional Gradient Descent-Based RBF Neural Network
In this research, we propose a novel fractional gradient descent-based learning algorithm (FGD) for the radial basis function neural networks (RBF-NN). The proposed FGD is the convex combination of the convent...
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Article
A Novel Fractional Gradient-Based Learning Algorithm for Recurrent Neural Networks
In this research, we propose a novel algorithm for learning of the recurrent neural networks called as the fractional back-propagation through time (FBPTT). Considering the potential of the fractional calculus...
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Article
Knowledge Management: a Gateway for Organizational Performance
Knowledge management (KM) is about enhancing the use of organizational knowledge through sound practices of information management and organizational learning. The study emphasizes on information technology, o...
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Article
A Novel Adaptive Kernel for the RBF Neural Networks
In this paper, we propose a novel adaptive kernel for the radial basis function neural networks. The proposed kernel adaptively fuses the Euclidean and cosine distance measures to exploit the reciprocating pro...
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Article
Integrating Geometrical Context for Semantic Labeling of Indoor Scenes using RGBD Images
Inexpensive structured light sensors can capture rich information from indoor scenes, and scene labeling problems provide a compelling opportunity to make use of this information. In this paper we present a no...
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Article
Open AccessA simple approach to evaluate the ergodic capacity and outage probability of correlated Rayleigh diversity channels with unequal signal-to-noise ratios
In this article, we propose a novel method to derive exact closed-form ergodic capacity and outage probability expressions for correlated Rayleigh fading channels with receive diversity. Unlike the existing wo...
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Chapter and Conference Paper
Sparse Representation for Video-Based Face Recognition
In this paper we address for the first time, the problem of video-based face recognition in the context of sparse representation classification (SRC). The SRC classification using still face images, has recent...
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Chapter and Conference Paper
User Verification by Combining Speech and Face Biometrics in Video
In this paper, physiological biometrics from face are combined with behavioral biometrics from speech in video to achieve robust user authentication. The choice of biometrics is motivated by user convenience a...
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Chapter and Conference Paper
Sparse Representation for Ear Biometrics
In this paper we address for the first time, the problem of user identification using ear biometrics in the context of sparse representation. During the training session the compressed ear images are transform...
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Chapter and Conference Paper
A New Approach to Face Localization in the HSV Space Using the Gaussian Model
We propose a model based approach for the problem of face localization. Traditionally, images are represented in the RGB color space, which is a 3-dimensional space that includes the illumination factor. Howev...
