Results 41 to 50 of about 448,103 (274)
Incremental multi‐view correlated feature learning based on non‐negative matrix factorisation
IET Computer Vision, 2021 In real‐world applications, large amounts of data from multiple sources come in the form of streams. This makes multi‐view feature learning cost much time when new instances rise incrementally.
Liang Zhao +3 more
doaj +1 more source
Incremental multiclass open-set audio recognition
IJAIN (International Journal of Advances in Intelligent Informatics), 2022 Incremental learning aims to learn new classes if they emerge while maintaining the performance for previously known classes. It acquires useful information from incoming data to update the existing models.
Hitham Jleed, Martin Bouchard
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Class Incremental Learning With Large Domain Shift
IEEE AccessWe address an important and practical problem facing deep-learning-based image classification: class incremental learning with a large domain shift. Most previous efforts on class incremental learning focus on one aspect of the problem, i.e., learning to
Kamin Lee +4 more
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Population-based incremental learning with memory scheme for changing environments [PDF]
, 2005 Copyright @ 2005 ACMIn recent years there has been a growing interest in studying evolutionary algorithms for dynamic optimization problems due to its importance in real world applications.
Yang, S
core +1 more source
Catastrophic forgetting: still a problem for DNNs
, 2019 We investigate the performance of DNNs when trained on class-incremental visual problems consisting of initial training, followed by retraining with added visual classes.
Abdullah, S. +3 more
core +1 more source
Incremental Learning on Trajectory Clustering [PDF]
, 2011 Scene understanding corresponds to the real time process of perceiving, analysing and elaborating an interpretation of a 3D dynamic scene observed through a network of cameras. The whole challenge consists in managing this huge amount of information and in structuring all the knowledge.
Patino Vilchis, Jose Luis +2 more
openaire +2 more sources
Best-Choice Edge Grafting for Efficient Structure Learning of Markov Random Fields
, 2018 Incremental methods for structure learning of pairwise Markov random fields (MRFs), such as grafting, improve scalability by avoiding inference over the entire feature space in each optimization step. Instead, inference is performed over an incrementally
Chaabene, Walid, Huang, Bert
core +1 more source
ILAPF: Incremental Learning Assisted Particle Filtering
, 2018 This paper is concerned with dynamic system state estimation based on a series of noisy measurement with the presence of outliers. An incremental learning assisted particle filtering (ILAPF) method is presented, which can learn the value range of ...
Liu, Bin
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A Workflow to Accelerate Microstructure‐Sensitive Fatigue Life Predictions
Advanced Engineering Materials, EarlyView.This study introduces a workflow to accelerate predictions of microstructure‐sensitive fatigue life. Results from frameworks with varying levels of simplification are benchmarked against published reference results. The analysis reveals a trade‐off between accuracy and model complexity, offering researchers a practical guide for selecting the optimal ...
Luca Loiodice +2 more
wiley +1 more source
Version [1.0.3] — [CACP: Classification Algorithms Comparison Pipeline]
SoftwareXWe present the first major release of the Classification Algorithms Comparison Pipeline (CACP). The proposed software enables one to compare newly developed classification algorithms in Python with other classifiers to evaluate classification performance
Sylwester Czmil +2 more
doaj +1 more source