Results 41 to 50 of about 1,029,862 (299)
Multi‐view learning for benign epilepsy with centrotemporal spikes
IET Computer Vision, 2019 Benign epilepsy with centrotemporal spikes (BECT) may be the most popular epilepsy to attack children. In recent years, more and more studies have shown that magnetic resonance imaging (MRI) and functional magnetic resonance imaging (fMRI) are promising ...
Ming Yan +3 more
doaj +1 more source
Multiview clustering method for view-unaligned data
Tongxin xuebao, 2022 A new challenge for multi-view learning was posed by corrupted view-correspondences.To address this issue， an effective multi-view learning method for view-unaligned data was proposed.First，to capture cross-view latent affinity in multi-view heterogenous
Ao LI +5 more
doaj +2 more sources
JohnLaMaster/Impartial-Multi-Task-Learning: Initial Release [PDF]
, 2022 PyTorch implementation of "Towards Impartial Multi-Task ...
John LaMaster
core +1 more source
Labeling Complicated Objects: Multi-View Multi-Instance Multi-Label Learning∗ [PDF]
, 2014 Multi-Instance Multi-Label (MIML) is a learning framework where an example is associated with mul-tiple labels and represented by a set of feature vec-tors (multiple instances).
Cam-tu Nguyen +7 more
core +1 more source
Multi-View Classification via a Fast and Effective Multi-View Nearest-Subspace Classifier
IEEE Access, 2019 Multi-view data represented in multiple views contains more complementary information than a single view, whereby multi-view learning explores and utilizes the multi-view data.
Ting Shu, Bob Zhang, Yuan Yan Tang
doaj +1 more source
Multi-View Spectral Clustering via ELM-AE Ensemble Features Representations Learning
IEEE Access, 2020 Spectral cluster based on multi-view data has proven effective for clustering multi-source real-world data because consensus and complementary information of multi-view data ensure the result of clustering.
Lijuan Wang, Shifei Ding
doaj +1 more source
Progressive Deep Multi-View Comprehensive Representation Learning [PDF]
, 2023 Multi-view Comprehensive Representation Learning (MCRL) aims to synthesize information from multiple views to learn comprehensive representations of data items.
Zhao, Wei +6 more
core +1 more source
A survey on canonical correlation analysis based multi-view learning
智能科学与技术学报, 2022 Multi-view learning (MVL) is a strategy for fusing data from different sources or subsets.Canonical correlation analysis (CCA) is very important in MVL, whose main idea is to maximize the correlation of different views.The traditional CCA can only ...
Chenfeng GUO, Dongrui WU
doaj
Multi-View Based Multi-Model Learning for MCI Diagnosis
Brain Sciences, 2020 Mild cognitive impairment (MCI) is the early stage of Alzheimer’s disease (AD). Automatic diagnosis of MCI by magnetic resonance imaging (MRI) images has been the focus of research in recent years. Furthermore, deep learning models based on 2D view
Ping Cao, Jie Gao, Zuping Zhang
doaj +1 more source
Deep Multi-View Learning for Tire Recommendation [PDF]
, 2021 International audienceWe are constantly using recommender systems, often without even noticing. They build a profile of our person in order to recommend the content we will most likely be interested in. The data representing the users, their interactions
Benabdeslem, Khalid +7 more
core +1 more source