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81篇 您的检索式：作者名="PERONA R"

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	题名	作者	年代	出处	被引量
1	Learning Generative Visual Models frbm Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories显示文摘	Li F F Fergus R Perona P	2007	Computer Vision and Image Understanding2007，106，1：	1
2	Weakly supervised scale-invariant learning of models for visual recognition显示文摘	Fergus R Perona P Zisserman A	2007	Intemational Journal of Computer Vision2007，71，3：	1
3	Learning generative visual models from few training examples:an incremental Bayesian approach tested on 101 object categories显示文摘	Li Feifei Fergus R Perona P	2007	//Computer Vision and Image Understanding Special issue on Generative Model Based Vision2007，106，1：	1
4	A new framework for supply chain management:Conceptual model and empirical test显示文摘	CIGOLINI R COZZI M PERONA M		0，，01：	1
5	Learning generative visual models from few training examples: an incremental Bayesian approach tested on 101 object categories显示文摘	LI F F FERGUS R and PERONA P	2007	Computer Vision and Image Understanding2007，106，1：	1
6	Weakly supervised scale-invariant learning of models for visual recognition 显示文摘	Fergus R Perona P and Zisserman A	2007	International Journal of Computer Vision2007，71，3：	1
7	Learning generative visual models from few training examples:an incremental Bayesian approachtested on 101 object categories显示文摘	FERGUS F F L R PERONA P	2007	Computer Vision and Image Understanding2007，106，1：	1
8	Learning generative visual models from few training examples: an incremental Bayesian approach test- ed on 101 object categories 显示文摘	LI F FERGUS R PERONA P	2007	Computer Vision and Image Un-derstanding2007，106，1：	1
9	Learning generative visual models from few training examples:An incremental bayesian approach tested on 101 object categories显示文摘	LI Feifei FERGUS R and PERONA P	2007	Computer Vision and Image Understanding2007，106，1：	1
10	Motion estimation via dynamic vision显示文摘	Soatto S Frezza R Perona P	1996	IEEE Trans Automa & Contr1996，41，：	1
11	Motion estimation via dynamic vision 显示文摘	SOATTO S FREZZA R PERONA P	1996	IEEE Transaction on Automatic Control1996，41，3：	1
12	One - Shot Learning of Object Categories 显示文摘	LI F F FERGUS R PERONA P	2006	IEEE Transactions on Pattern Analysis and Machine Intelligence2006，28，4：	1
13	Cell signalling: growth factors and tyrosine kinase receptors 显示文摘	Perona R	2006	Clin Transl Oneol2006，8，2：	1
14	Potential vasorelaxant effects of oleanolic acid and erythrodiol, two triterpenoids contained in 'orujo' olive oil, on rat aorta 显示文摘	Rodriguez-Rodriguez R Herrera M D Perona J S	2004	Br J Nutr2004，92，4：	1
15	Potential vasorelaxant effects of oleanolic acid and erythro -diol, two triterpenoids contained in ‘orujo' olive oil, on rat aorta显示文摘	Rodriguez - Rodriguez R Herrera MD Perona JS	2004	Br J Nutr2004，92，4：	1
16	Comparison of the effects of retinoic acid and nerve growth factor on PC12 cell proliferation, differentiation, and gene expression 显示文摘	Cosgaya JM Garcia-Villalba P Perona R	1996	J Neurochem1996，66，：	1
17	Learning generative visual models from few training examples: an incremental bayesian approach tested on 101 object categories 显示文摘	FEI FEI L FERGUS R PERONA P	2007	Computer Vision and Image Understanding2007，106，1：	1
18	Rho - regulated signals induce apoptosis in vitro and in vivo by a p53 - independent, but Bcl2 dependent pathway 显示文摘	Esteve P Embade N Perona R	1998	Oncogene1998，17，14：	1
19	Learning generative visual mo-dels from few training examples:an incremental Bayesian approach tested on 101 object categories显示文摘	Li Fei-fei Fergus R Perona P	2004	Computer Vision and Image Understanding2004，106，1：	1
20	Cell signalling:growth factors and tyrosine kinase receptors 显示文摘	Perona R	2006	Clin Transl Oncol2006，8，2：	1

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