presented dictionary pair classifierdriven CNNs for object detection, where dictionary pair back propagation (DPBP) is proposed for the end-to-end learning of dictionary pair classifiers and CNN representation, and sample weighting is adopted

CNN (Convolutional neural network class) program.

We present a visual assistive system that features mobile face detection and recognition in an uncon-strained environment from a mobile source using convolutional neural networks