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MPCA: Multilinear Principal Component Analysis of Tensor Objects
- Haiping Lu, K. Plataniotis, A. Venetsanopoulos
- Computer ScienceIEEE Transactions on Neural Networks
It is shown that even without a fully optimized design, an MPCA-based gait recognition module achieves highly competitive performance and compares favorably to the state-of-the-art gait recognizers.
Face recognition using LDA-based algorithms
A new algorithm is proposed that deals with both of the shortcomings in an efficient and cost effective manner of traditional linear discriminant analysis methods for face recognition systems.
Face recognition using kernel direct discriminant analysis algorithms
This paper proposes a kernel machine-based discriminant analysis method, which deals with the nonlinearity of the face patterns' distribution and effectively solves the so-called "small sample size" (SSS) problem, which exists in most FR tasks.
Color Image Processing and Applications
This book claims to fill a niche in the provision of textbooks devoted to image processing by being devoted to colour aspects. It is aimed at researchers and practitioners working in the area of…
Analysis of Human Electrocardiogram for Biometric Recognition
- Yongjin Wang, F. Agrafioti, D. Hatzinakos, K. Plataniotis
- Computer ScienceEURASIP J. Adv. Signal Process.
A fiducial-detection-based framework that incorporates analytic and appearance attributes is first introduced and a new approach based on autocorrelation (AC) in conjunction with discrete cosine transform (DCT) is proposed.
Kernel-Based Positioning in Wireless Local Area Networks
- A. Kushki, K. Plataniotis, A. Venetsanopoulos
- Computer ScienceIEEE Transactions on Mobile Computing
- 1 June 2007
It is shown that, due to the variability of RSS features over space, a spatially localized positioning method leads to improved positioning results and a kernelized distance calculation algorithm for comparing RSS observations to RSS training records is presented.
Regularization studies of linear discriminant analysis in small sample size scenarios with application to face recognition
Color filter arrays: design and performance analysis
The design of color filter arrays (CFAs) used in the consumer-grade digital camera are described, and their influence on the performance of the demosaicking process is analyzed.
Regularized Common Spatial Pattern With Aggregation for EEG Classification in Small-Sample Setting
- Haiping Lu, H. Eng, Cuntai Guan, K. Plataniotis, A. Venetsanopoulos
- Computer ScienceIEEE Transactions on Biomedical Engineering
- 30 September 2010
A regularized CSP (R-CSP) algorithm is proposed, where the covariance-matrix estimation is regularized by two parameters to lower the estimation variance while reducing the estimation bias.
COVID-CAPS: A capsule network-based framework for identification of COVID-19 cases from X-ray images