2016
DOI: 10.1016/j.neucom.2016.05.053
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Multi-scale object retrieval via learning on graph from multimodal data

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Cited by 4 publications
(2 citation statements)
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References 46 publications
(61 reference statements)
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“…He et al proposed an algorithm called the "Las Vegas strategy restart method" to solve such problems, which uses the Markov chain to predict the most startup period of each requested data item [36]. Zhang et al further searched and excavated multi-dimensional objects based on multimodal data learning and proved the advancement and feasibility of the algorithm in later experiments based on the data provided by some official bodies [47]. Sérgio et al…”
Section: Data Mining Technologymentioning
confidence: 99%
“…He et al proposed an algorithm called the "Las Vegas strategy restart method" to solve such problems, which uses the Markov chain to predict the most startup period of each requested data item [36]. Zhang et al further searched and excavated multi-dimensional objects based on multimodal data learning and proved the advancement and feasibility of the algorithm in later experiments based on the data provided by some official bodies [47]. Sérgio et al…”
Section: Data Mining Technologymentioning
confidence: 99%
“…Fullerene Nano molecules are characterized with presence of 12 five-membered rings and varying number of six-membered rings in their molecular structures [1][2][3][4][5][6][7][8][9][10][11][12][13][14][15][16]. Fullerene Nano molecules (Cn) with sizes n=3840, 3838, 3836,…, 24, 22, 20, have been observed in Buckminsterfullerenes (Buckyballs) collisions with fast highly charged atomic ions, electrons and laser pulses [17][18][19][20][21].…”
Section: Introductionmentioning
confidence: 99%