Results 41 to 50 of about 451,604 (277)
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
Efficiently Updating ECG-Based Biometric Authentication Based on Incremental Learning
Sensors, 2021 Recently, the interest in biometric authentication based on electrocardiograms (ECGs) has increased. Nevertheless, the ECG signal of a person may vary according to factors such as the emotional or physical state, thus hindering authentication. We propose
Junmo Kim +5 more
doaj +1 more source
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
doaj +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
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
Pediatric Blood &Cancer, EarlyView.ABSTRACT Purpose Although not always achieved, complete chemotherapy‐induced nausea and vomiting (CINV) control is the conventional goal of CINV prophylaxis. In this two‐center, mixed‐methods study, we sought to understand the preferences of adolescent patients and family caregivers for CINV control endpoints.
Haley Newman +8 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
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
Models of incremental concept formation [PDF]
, 1988 Given a set of observations, humans acquire concepts that organize those observations and use them in classifying future experiences. This type of concept formation can occur in the absence of a tutor and it can take place despite irrelevant and ...
Fisher, Douglas +2 more
core +1 more source
Incremental Learning from Positive Data
Journal of Computer and System Sciences, 1996 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lange, Steffen, Zeugmann, Thomas
openaire +2 more sources