Results 31 to 40 of about 181,047 (259)
Multi-view Discriminative Sequential Learning [PDF]
, 2005 Discriminative learning techniques for sequential data have proven to be more effective than generative models for named entity recognition, information extraction, and other tasks of discrimination. However, semi-supervised learning mechanisms that utilize inexpensive unlabeled sequences in addition to few labeled sequences – such as the Baum-Welch ...
Ulf Brefeld +2 more
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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
Exploring Dynamic Hierarchical Fusion for Multi-View Clustering
IEEE AccessMulti-view clustering is effective at uncovering the latent structures within different views or modalities. However, existing approaches often oversimplify the problem by treating the contribution and granularity of information from all views as uniform,
Zhenshan Chen +6 more
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multiviewstacking: A Python Package for Training Multi-View Stacking Classifiers
Journal of Open Research SoftwareThe multiviewstacking Python package provides an open-source implementation of the Multi-View Stacking (MVS) algorithm for supervised classification tasks.
Enrique Garcia-Ceja
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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-Modal 3D Shape Clustering with Dual Contrastive Learning
Applied Sciences, 2022 3D shape clustering is developing into an important research subject with the wide applications of 3D shapes in computer vision and multimedia fields. Since 3D shapes generally take on various modalities, how to comprehensively exploit the multi-modal ...
Guoting Lin +4 more
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A Novel Adaptive Multi-View Non-Negative Graph Semi-Supervised ELM
IEEE Access, 2020 This paper represents a semi-supervised learning framework, which integrates multi-view learning, extreme learning machine (ELM) and graph-based semi-supervised learning.
Feng Zheng +4 more
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Fusing Local and Global Information for One-Step Multi-View Subspace Clustering
Applied Sciences, 2022 Multi-view subspace clustering has drawn significant attention in the pattern recognition and machine learning research community. However, most of the existing multi-view subspace clustering methods are still limited in two aspects.
Yiqiang Duan +3 more
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Pediatric Blood &Cancer, EarlyView.ABSTRACT Background General pediatricians often evaluate hematologic and oncologic presentations before subspecialty consultation, yet the 2025 Accreditation Council for Graduate Medical Education (ACGME) pediatric requirements reduce inpatient pediatric hematology/oncology (PHO) time, raising questions about resident readiness.
Colburn Yu, Rohini Jain
wiley +1 more source
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 ...
Depeng Li 0001 +5 more
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