Discrete cosine transform (DCT) is a powerful transform to extract proper features for face
recognition. After applying DCT to the entire face images, some of the coefficients are …

We consider the problem of linear regression in the case of an extremely small sample size.
It is difficult to obtain good estimates of model parameters and confidence interval in this …

In this paper, we propose a generation of feature image for face recognition. Feature image
is generated using Discrete Cosine Transform (DCT), which tries to best classify different …

A convolutional neural network (CNN) is a popular neural network architecture that excels in
its ability to capture patterns in tasks with grid-structured inputs (eg visual recognition). Fine …

The low frequency sub bands of Discrete Cosine Transform (DCT) and Discrete Wavelet
Transform (DWT) are mostly used for recognition purposes. In this paper, we propose that …

In this paper, we propose a feature image generation method for face recognition. Feature
extraction is done using three transforms viz. Discrete Cosine Transform, Slant Transform …

Face recognition is a biometric authentication system for human security and personal
identification that has become a field of interest in pattern recognition and computer vision …

Face recognition systems based on holistic approach consider facial images as high-
dimensional data points generated from a multi modal distribution. Recent efforts in methods …

以广州车牌竞拍价格数据集为数据来源, 采用线性回归并结合k 折交叉验证,
研究小样本数据集的预测方法. 为解决小样本局部特异性数据导致的验证误差增大的问题 …