Results 41 to 50 of about 1,699,128 (261)
Multi-view class incremental learning
Information FusionMulti-view learning (MVL) has gained great success in integrating information from multiple perspectives of a dataset to improve downstream task performance. To make MVL methods more practical in an open-ended environment, this paper investigates a novel paradigm called multi-view class incremental learning (MVCIL), where a single model incrementally ...
Li, Depeng +5 more
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Multi-View Reinforcement Learning
, 2019 33rd Conference on Neural Information Processing Systems (NeurIPS 2019)
Li, Minne +3 more
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Multi-View Graph Clustering by Adaptive Manifold Learning
Mathematics, 2022 Graph-oriented methods have been widely adopted in multi-view clustering because of their efficiency in learning heterogeneous relationships and complex structures hidden in data.
Peng Zhao, Hongjie Wu, Shudong Huang
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A Novel Information-based Multi-view Representation Learning
Journal of Applied Science and EngineeringMulti-view representation learning methods achieve great performance in various domains via fusing complementary and consistent information of views, which have gained great attention. However, there still exist two issues in current methods.
Hongdan Wang, Jian Zhang
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Robust Auto-weighted Multi-view Subspace Clustering
Jisuanji kexue yu tansuo, 2021 As the ability to collect and store data improving, real data are usually made up of different forms (view). Therefore, multi-view learning plays a more and more important role in the field of machine learning and pattern recognition.
FAN Ruidong, HOU Chenping
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Mapping the evolution of mitochondrial complex I through structural variation
FEBS Letters, EarlyView.Respiratory complex I (CI) is crucial for bioenergetic metabolism in many prokaryotes and eukaryotes. It is composed of a conserved set of core subunits and additional accessory subunits that vary depending on the organism. Here, we categorize CI subunits from available structures to map the evolution of CI across eukaryotes. Respiratory complex I (CI)
Dong‐Woo Shin +2 more
wiley +1 more source
Multi-View Deep Learning for Consistent Semantic Mapping with RGB-D Cameras
, 2017 Visual scene understanding is an important capability that enables robots to purposefully act in their environment. In this paper, we propose a novel approach to object-class segmentation from multiple RGB-D views using deep learning.
Cremers, Daniel +3 more
core +1 more source
Molecular Oncology, EarlyView.We developed and validated a DNA methylation–based biomarker panel to distinguish pleural mesothelioma from other pleural conditions. Using the IMPRESS technology, we translated this panel into a clinically applicable assay. The resulting two classifier models demonstrated excellent performance, achieving high AUC values and strong diagnostic accuracy.
Janah Vandenhoeck +12 more
wiley +1 more source
Multi-view Metric Learning for Multi-view Video Summarization
, 2014 Traditional methods on video summarization are designed to generate summaries for single-view video records; and thus they cannot fully exploit the redundancy in multi-view video records. In this paper, we present a multi-view metric learning framework for multi-view video summarization that combines the advantages of maximum margin clustering with the
Fu, Yanwei, Wang, Lingbo, Guo, Yanwen
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View-Driven Multi-View Clustering via Contrastive Double-Learning
EntropyMulti-view clustering requires simultaneous attention to both consistency and the diversity of information between views. Deep learning techniques have shown impressive abilities to learn complex features when working with extensive datasets; however ...
Shengcheng Liu +4 more
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