Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Meng, Xiangzhu"'
Multi-view learning techniques have recently gained significant attention in the machine learning domain for their ability to leverage consistency and complementary information across multiple views. However, there remains a lack of sufficient resear
Externí odkaz:
http://arxiv.org/abs/2309.09987
In recent years, functional magnetic resonance imaging has emerged as a powerful tool for investigating the human brain's functional connectivity networks. Related studies demonstrate that functional connectivity networks in the human brain can help
Externí odkaz:
http://arxiv.org/abs/2309.07947
In recent years, functional magnetic resonance imaging (fMRI) has been widely utilized to diagnose neurological disease, by exploiting the region of interest (RoI) nodes as well as their connectivities in human brain. However, most of existing works
Externí odkaz:
http://arxiv.org/abs/2309.07940
Publikováno v:
In Pattern Recognition Letters October 2024 186:85-90
In most practical applications, it's common to utilize multiple features from different views to represent one object. Among these works, multi-view subspace-based clustering has gained extensive attention from many researchers, which aims to provide
Externí odkaz:
http://arxiv.org/abs/2107.05073
In recent years, multi-view learning technologies for various applications have attracted a surge of interest. Due to more compatible and complementary information from multiple views, existing multi-view methods could achieve more promising performa
Externí odkaz:
http://arxiv.org/abs/2105.11781
Recognition of road surface conditions should always be at the forefront of intelligent transportation systems for the enhancement of transportation safety and efficiency. When road surfaces are covered by ice or snow, accident rate would increase du
Externí odkaz:
http://arxiv.org/abs/2102.09735
In recent years, we have witnessed a surge of interests in learning a suitable distance metric from weakly supervised data. Most existing methods aim to pull all the similar samples closer while push the dissimilar ones as far as possible. However, w
Externí odkaz:
http://arxiv.org/abs/2102.02670
Wireless communication technique at terahertz (THz) frequencies is regarded as the most potential candidate for future wireless networks due to its wider frequency bandwidth and higher data capacity when compared to that employing radio frequency (RF
Externí odkaz:
http://arxiv.org/abs/2009.03031
In recent years, we have witnessed a surge of interest in multi-view representation learning, which is concerned with the problem of learning representations of multi-view data. When facing multiple views that are highly related but sightly different
Externí odkaz:
http://arxiv.org/abs/2006.10520