… are committed to optimizing the existing features, so that the improved algorithm can achieve
… Firstly, the Sobel edge binary mode algorithm and the histogram of oriented gradient are …

… 82.41% respectively, while real-time detection is 57.9 f/s. In the next work, we will continue
to improve the network and optimize the algorithm for higher accuracy and lower time cost, …

… inside the points set based on the adjacent points slope threshold value, and used as a
point clouds segmentation boundary. All the algorithms based on slope threshold value are …

… applications in decision-making and machine learning, then introduces basic operations and
… in controls and machine learning. Finally, it points out several future research directions on …

… (histogram of oriented gradient) features of each image were … solution was obtained by solving
the optimization of the l 1 norm to … Pest image recognition of multi-feature fusion based on …

… Finally, feature fusion is performed by a multi-layer attention module … of digital image processing
and machine learning. Some … For any classifier, the model is optimized by empirical risk …

… multi-task supervision and joint optimization. ResNet50 was used as the backbone network,
in which a cascaded feature fusion … image detection and segmentation. 6 tabs, 9 figs, 31 refs. …

… based on convolutional neural network is proposed in this paper. By optimizing the feature
fusion … a non-maximum suppression strategy based on distance is improved. Experiments …

… on Yolo (You only look once) is optimized. Then, an appropriate anchor … -scale feature
fusion technology is used to improve the … ultrasonic and radiographic image detection methods. …

… The camera systems have long-term been designed in separated steps: experience-driven …
and optimizing planar optical elements and high-quality image reconstruction algorithms …