全部文献期刊会议图书|学者科研项目
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作者:Mario Casillo , Fabio Clarizia , Giuseppe D'Aniello ...
来源:[J].Pattern Recognition Letters(IF 1.266), 2020, Vol.131, pp.234-243
摘要:Abstract(#br)Cultural heritage is an important resource that allows us to know and promote a territory. In this respect, it is important to experiment with the enhancement of cultural heritage by adopting approaches that meet the dynamic needs of various types of users. The aim o...
作者:Zhenyu Lu , Yanzhong Bai , Yi Chen ...
来源:[J].Pattern Recognition Letters(IF 1.266), 2020, Vol.133, pp.173-179
摘要:Abstract(#br)Gliomas are characterized by high morbidity and high mortality in primary tumors. The identification of glioma type is helpful for radiologists to facilitate correct medical judgments and better prognosis for patients. In order to avoid harm to patients caused by a b...
作者:Chen Du , Yanna Wang , Chunheng Wang ...
来源:[J].Pattern Recognition Letters(IF 1.266), 2020, Vol.129, pp.108-114
摘要:Abstract(#br)Different layers of deep convolutional neural networks(CNNs) can encode different-level information. High-layer features always contain more semantic information, and low-layer features contain more detail information. However, low-layer features suffer from the back...
作者:Muhammad Irfan Sharif , Jian Ping Li , Javeria Naz ...
来源:[J].Pattern Recognition Letters(IF 1.266), 2020, Vol.131, pp.30-37
摘要:Abstract(#br)Tumor is comprised of abnormally growing regions that is dangerous for human survival. Therefore, early stage tumor detection is useful for increase of survival rate although it is challenging because of numerous prolific image factors including poor contrast, comple...
作者:Zhongwei Xie , Lin Li , Xian Zhong ...
来源:[J].Pattern Recognition Letters(IF 1.266), 2020, Vol.133, pp.70-76
摘要:Abstract(#br)Despite the great progress achieved, image-to-video person re-identification is still challenging in the cross-modal scenario. Currently, state-of-the-art approaches mainly concentrate on the task-specific data, neglecting the extra information from the differen...
作者:Francesco Ragusa , Antonino Furnari , Sebastiano Battiato ...
来源:[J].Pattern Recognition Letters(IF 1.266), 2020, Vol.131, pp.150-157
摘要:Abstract(#br)Equipping visitors of a cultural site with a wearable device allows to easily collect information about their preferences which can be exploited to improve the fruition of cultural goods with augmented reality. Moreover, egocentric video can be processed using c...
作者:Debbrota Paul Chowdhury , Sambit Bakshi , Pankaj Kumar Sa ...
来源:[J].Pattern Recognition Letters(IF 1.266), 2020, Vol.130, pp.139-147
摘要:Abstract(#br)In this paper a source camera identification algorithm for ear biometric images has been proposed based on tunable filter bank as a feature extractor. Maintaining the frequency selectivity property, distinct features are extracted by this filter bank, based on a half...
作者:Ali Abbasian Ardakani , Ahmadreza Afshar , Shweta Bhatt ...
来源:[J].Pattern Recognition Letters(IF 1.266), 2020, Vol.133, pp.77-85
摘要:Abstract(#br)Ultrasonography is an acceptable modality to evaluate median nerve (MN) in patients with carpal tunnel syndrome (CTS). Additional investigations are needed to evaluate sonographic parameters and compare their performances with artificial intelligence (AI) methods. Th...
作者:Jiayi Peng , Yong Xu , Tianyi Chen ...
来源:[J].Pattern Recognition Letters(IF 1.266), 2020, Vol.131, pp.121-127
摘要:Abstract(#br)Image raindrop removal refers to removing raindrops from the images taken through glass under rainy weather. It is a challenging problem due to the large variations of raindrop appearances as well as the nonlinear visual distortions caused by raindrops. This problem ...
作者:Tengtao Zou , Shangming Yang , Yun Zhang ...
来源:[J].Pattern Recognition Letters(IF 1.266), 2020, Vol.131, pp.91-97
摘要:Abstract(#br)Occluded pedestrian detection has been a research difficulty in computer vision for a long time. The conventional approach to solve this problem is to learn partial detectors, which can be properly integrated for occlusion handling. However, the efficiency of this ty...

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