Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: articles. Associating the information from the text and image requires matching sub-flgures with the sentences in the text.  introduce a stacked graphical model, a meta-learning scheme to augment a base learner by expanding features based on related instances, to match the labels of sub-flgures with labels of sentences. The experimental results show a signiflcant improvement in the matching accuracy of the stacked graphical model (81.3%) as compared with a relational dependency network (70.8%) or the current algorithm in SLIF (64.3%).
['Zhenzhen Kou', 'William W. Cohen', 'Robert F. Murphy']
I am writing a research paper on a idea A STACKED GRAPHICAL MODEL FOR ASSOCIATING SUB-IMAGES WITH SUB-CAPTIONS
[{"from": "human", "value": "I am writing a research paper on a idea A STACKED GRAPHICAL MODEL FOR ASSOCIATING SUB-IMAGES WITH SUB-CAPTIONS"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: articles. Associating the information from the text and image requires matching sub-flgures with the sentences in the text.  introduce a stacked graphical model, a meta-learning scheme to augment a base learner by expanding features based on related instances, to match the labels of sub-flgures with labels of sentences. The experimental results show a signiflcant improvement in the matching accuracy of the stacked graphical model (81.3%) as compared with a relational dependency network (70.8%) or the current algorithm in SLIF (64.3%)."}]