Y Gao, L Wang, J Liu, J Dong, Y Gao - Computer Science and …, 2017 - pdf.hanspub.org
… In this paper, a database of wallpaper textures with different styles is collected. Based on computer vision and machinelearningmethods, a wallpaper texture style learning and scene …
S Ma, P He - Computer Science and Application, 2019 - pdf.hanspub.org
… recommendation methods in … methods in music and video fields based on deeplearning, and finally summarizes and prospects the recommendation methods based on deeplearning. …
X Gu, Y Pan, X He, W Huang, J Zhang… - Journal of Remote …, 2010 - gissky.net
… method and tested the method in an urban agriculture region with complex planting structure through several steps: first, digitalizing field boundary from QuickBird image; second, …
JJ Chen, H Moon, S Baek - Journal of the Chinese Statistical …, 2007 - academia.edu
… prediction (machinelearning algorithm) is a widely used data mining technique in many areas of research and applications. Classification uses a supervised learningmethod where the …
Z Peng, D Mao, L Wang, Y Liu, J Zhang - J. Remote Sens, 2011 - gissky.net
… For this reason, the CPSP hydrological model is selected as the regional water balance analysis tool. The real-time agricultural water-use monitoring data and RS land use are selected …
… up your vocabulary, learn the sentence structure, appreciate the writing styles of the writers, understand the grammatical formats, or even familiarize yourself with the use of punctuation. …
… machinelearningmethod is a strategy for finding realistic solutions to this problem. There are numerous machinelearningmethods … the agricultural environment that machinelearning …
王立国, 王丽凤 - Journal of Remote Sensing, 2021 - search.ebscohost.com
… agricultural security and food production. With the development of hyperspectral imaging and deeplearningtechnology, … A Convolutional NeuralNetwork (CNN), the most representative …