Given the ubiquity of handwritten documents in human transactions, Optical Character
Recognition (OCR) of documents have invaluable practical worth. Optical character …

Extending technologies and data development culminated in the need for quicker and more
reliable processing of massive data sets. Machine Learning techniques are used …

Autonomous driving requires reliable and accurate detection and recognition of surrounding
objects in real drivable environments. Although different object detection algorithms have …

The content of free calcium oxide (f-CaO) in cement clinker is an important index for cement
quality. Aiming at the characteristics of strong coupling, time-varying delay and highly non …

Deep belief networks (DBNs) with outstanding advantages of learning input data features
have attained particular attention and are applied widely in image processing, speech …

The commonly used classifiers for pattern recognition of human motion, like
backpropagation neural network (BPNN) and support vector machine (SVM), usually …

In this paper, we propose a transfer learning approach for Arrhythmia Detection and
Classification in Cross ECG Databases. This approach relies on a deep convolutional …

Multi-view face detection in open environment is a challenging task due to diverse variations
of face appearances and shapes. Most multi-view face detectors depend on multiple models …

The accurate identification of landmarks within facial images is an important step in the
completion of a number of higher-order computer vision tasks such as facial recognition and …

Video-surveillance has always been a vital tool to enforce safety in both public and private
environments. Even though (smart) cameras are nowadays relatively widespread and …