Titlebook: 3D Imaging—Multidimensional Signal Processing and Deep Learning; 3D Images, Graphics Lakhmi C. Jain,Roumen Kountchev,Roumiana Kountchev Co

航海太平洋

Mónica Caniupán,Alejandro Vaisman and reducing the number of sample points reallocated during the iteration. Experimental results show that our algorithm has excellent time performance in most of the datasets, and the clustering quality is almost the same or even better than that of the exact .-means algorithm.

anaphylaxis

X. Laval,N. Martin,P. Bellemain,C. Mailhes specific algorithms to reconstruct the 3D model of objects or locations with robust realism, which has fast reconstruction speed, simple equipment, realistic effect, and minor technical data, which can better realize the virtualization of natural objects.

floodgate

受辱

Intelligent Author Identificationthm. The experimental results show that the algorithm reduces the number of attributes and uses the classifier KNN to test the accuracy of attribute reduction. Compared with the existing algorithms, it shows great advantages.

BROW

Carlo A. Curino,Hyun J. Moon,Carlo Zaniolothe baseline method, the recognition accuracy is improved by more than 10%. At the same time, based on the trained recognition model, this paper designed and developed a food recognition system that can be used on Android devices, and it can realize the function of recognizing food through real-time photographing.