机译:机器学习使用数字化的植物标目标本推进语音研究
Calif Polytech State Univ San Luis Obispo San Luis Obispo CA 93407 USA;
Florida Museum Nat Hist Gainesville FL USA;
State Univ New Jersey Dept Ecol Evolut &
Nat Resources Rutgers New Brunswick NJ USA;
Univ Montpellier AMAP Montpellier France;
Univ Florida Florida Museum Nat Hist Gainesville FL 32611 USA;
Harvard Univ Herbaria Cambridge MA USA;
Us Natl Phenol Network Tucson AZ USA;
La Brea Tar Pits &
Museum Nat Hist Museum Angeles Cty Los Angeles CA USA;
Univ Montpellier AMAP Montpellier France;
Carnegie Museum Nat Hist Pittsburgh PA USA;
Inria Sophia Antipolis Lab Informat Robot &
Microelect Montpellier LIRM Zenith Team Montpellier France;
Inria Sophia Antipolis Lab Informat Robot &
Microelect Montpellier LIRM Zenith Team Montpellier France;
Univ Calif Santa Barbara Dept Ecol Evolut &
Marine Biol Santa Barbara CA USA;
Univ Calif Davis Dept Entomol &
Nematol Davis CA USA;
Univ Florida Florida Museum Nat Hist Gainesville FL 32611 USA;
Yale Peabody Museum Nat Hist New Haven CT USA;
Smithsonian Inst Dept Bot Washington DC 20560 USA;
Univ Florida Florida Museum Nat Hist Gainesville FL 32611 USA;
phenology; machine learning; biodiversity; climate change; deep learning;
机译:应用机器学习研究数字化植物标目标本保存的长期昆虫植物相互作用
机译:深叶:掩模基于R-CNN的叶片检测和数字化植物标目标本图像的分割
机译:石山公园,佐治亚州Dekalb County的血管植物植物区系,基于Georgia大学的数字化标本(GA)
机译:利用深层学习技术的植物标目标本的语义分割
机译:机器学习:线性判别分析,多视图回归和支持向量机的若干进展
机译:使用数字标本室标本进行机器学习以促进物候研究
机译:机器学习使用数字化植物标目标本推进鉴生研究
机译:在用于推进机器学习的概率编程(ppamL)中推广概率编程系统(pps)开发。