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	题名	作者	年代	出处	被引量
1	Giorgio Vasari’s Fine Arts From the Vite of 1550:The Splendor of Creativity and Design显示文摘Giorgio Vasari’s conception of artistic creativity is related to his theory of painting. He proposes two alternatives in a painter’s development or achievement of artistic creativity: imitation (imitazione) and invention (invenzione).Imitation is the copying of art as a method of learning, whereas invention is independent of imitation and constitutes the means for conceiving artistic ideas. Imitation serves to guide and teach the artist in composing and creating perfection. Vasari maintains that artists must study antiquity and the masters, so that they may learn how others acquired the experience of imitating nature. For Vasari, imitation draws upon three different sources: the first two are copying from nature (copia dal vero) and the third one is selecting from one’s work (imitare se stessi). He emphasizes that copying from nature is important for the artist so that he may learn to create forms that are alive as visualized in the Fine Arts.	Liana De Girolami Cheney	2017	Journal of Literature and Art Studies2017，7，2：	3
2	Independent component analysis using an extended informax algorithm for mixed sub-gaussian and super-gaussian sources显示文摘	Lee T Girolami M Sejnowski T	1999	Neural Computation1999，11，2：	1
3	The incidence of heparin induced thrombocytopenia in hospitalized medical pa tients treated with aubcutaneous unfractionated heparin: a pro speetive cohort study显示文摘	Girolami B Prandoni P Stefani PM	2003	Blood2003，101，8：	1
4	An expectation-maximization approach to nonlinear component analysis显示文摘	Rosipal R Girolami M	2001	Neural Computation2001，13，1：	1
5	Hornozygous FVII defieieneies with different reactivity towards tissue thromboplastins of different origin显示文摘	Girolami A Searparo P Bonamigo E	2012	Hematology2012，17，6：	1
6	Independent component analysis using an extended infomax algorithm for mixed sub Gaussian and super Ganssian sources显示文摘	Leen T W Girolami M Sejnowski T J	1999	Neural Computations1999，11，2：	1
7	Independent component analysis using an extended infomax algorithm for mixed sub-Gaussian and superGaussian sources 显示文摘	Girolami M Sejnowski T J	1999	Neural Computations1999，11，：	1
8	Opioid-induced hy- peralgesia in a mice model of orthopaedic pain : preventive effect of ketamine 显示文摘	Minville V Fourcade O Girolami J P	2010	BrJ Anaestb2010，104，2：	1
9	Multiclass relevance vector machines:sparse and accuracy显示文摘	Psorakis I Damoulas T Girolami M A		0，，10：	1
10	A unifying information-theoretic framework for independent component analysis 显示文摘	GIROLAMI M BELL A J	2000	Comput & Math Appl2000，，39：	1
11	Mercer kernel based clustering in feature space显示文摘		2002	IEEE Transactions on Neural Networks2002，13，3：	1
12	Inflammatory cytokines in pe- diatric cardiacsurgery and variable effect of thehemofiltration process显示文摘	Brancaccio G Villa E Girolami E	2005	Perfusion2005，20，：	1
13	Independent component analysis using an extended infomax algorithm for mixed sub-Gaussian and super-Gaussian sources 显示文摘	Lee T W Girolami M Sejnowski T J	1999	Neural Computation1999，11，2：	1
14	Giorgio Vasari's The Conception of Our Lady: A Divine Fruit显示文摘	Liana De Girolami Cheney	2016	Cultural and Religious Studies2016，4，2：	1
15	Mereer Kernel Based Clustering in Feature Space 显示文摘	Girolami M	2002	IEEE Trans on Neural Networks2002，13，3：	1
16	Kernel PCA for feature extraction and de-noising in nonlinear regression显示文摘	Roman Rosipal Mark Girolami	2001	Neural Computing & Applications2001，10，3：	1
17	Symmetric Adaptive Maximum Likelihood Estimation for Noise Cancellation and Signal Separation显示文摘	Girolami M	1997	Electronic Letters1997，33，17：	1
18	Clustering via kernel decomposition 显示文摘	Szymkowiak-Have A Girolami M A Larsen J	2006	IEEE Transactions on Neural Networks2006，17，1：	1
19	Independent component analysis using an extended infomax algorithm for mixed subgaussian and supergaussian sources显示文摘	LEE T W GIROLAMI M SEJNOWSKI T J	1999	Neural Computation1999，11，3：	1
20	An empirical analysis of the probabilistic K-nearest neighbor classifier 显示文摘	MANOCHA S GIROLAMI M A	2007	Pattern Recognition Letters2007，28，13：	1

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