A deep learning-based system that detects facial expressions from webcam input and classifies them into seven emotions — Angry, Disgust, Fear, Happy, Neutral, Sad, and Surprise — using a CNN model and ...

In computer vision, convolutional networks (CNNs) often adopts pooling to enlarge receptive field which has the advantage of low computational complexity. However, pooling can cause information loss ...

Machine learning (ML) and deep learning (DL) algorithms now enable robust, non-invasive authentication. Tools such as ...

The distribution of sample data before and after SVM SMOTE processing is listed in Table 1 ... it is necessary to flatten the high-dimensional features into one-dimensional array by convolution neural ...

Innatera announced the launch of Pulsar, its first commercially available microcontroller to bring brain-like intelligence ...

As such, a natural question arises as to how to expand the receptive fields in convolutional neural networks (CNNs) to achieve the superior performance comparable ... The AGF classifier, derived by ...

School of Mechatronic Engineering and Automation, Shanghai University, 99 Shangda Road, Baoshan District, Shanghai, P. R. China ...

Recently, pre-trained deep convolution neural networks on thousands of classes have the ability to extract very accurate and representative features which, in addition to classification, can also be ...