Results 21 to 30 of about 58,776 (261)
On the power of incremental learning
Theoretical Computer Science, 2002 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Steffen Lange, Gunter Grieser
openaire +1 more source
Incremental ELMVIS for Unsupervised Learning [PDF]
, 2017 An incremental version of the ELMVIS+ method is proposed in this paper. It iteratively selects a few best fitting data samples from a large pool, and adds them to the model. The method keeps high speed of ELMVIS+ while allowing for much larger possible sample pools due to lower memory requirements.
Anton Akusok +7 more
openaire +2 more sources
An Optimized Class Incremental Learning Network with Dynamic Backbone Based on Sonar Images
Journal of Marine Science and Engineering, 2023 Class incremental learning with sonar images introduces a new dimension to underwater target recognition. Directly applying networks designed for optical images to our constructed sonar image dataset (SonarImage20) results in significant catastrophic ...
Xinzhe Chen, Hong Liang
doaj +1 more source
Learning to Recognize Faces Incrementally [PDF]
, 2007 374
Oscar Déniz +4 more
openaire +2 more sources
Using Domain Adaptation for Incremental SVM Classification of Drift Data
Mathematics, 2022 A common assumption in machine learning is that training data is complete, and the data distribution is fixed. However, in many practical applications, this assumption does not hold.
Junya Tang, Kuo-Yi Lin, Li Li
doaj +1 more source
End-to-End Incremental Learning [PDF]
, 2018 Although deep learning approaches have stood out in recent years due to their state-of-the-art results, they continue to suffer from catastrophic forgetting, a dramatic decrease in overall performance when training with new classes added incrementally.
Francisco M. Castro +4 more
openaire +3 more sources
New Generation Federated Learning
Sensors, 2022 With the development of the Internet of things (IoT), federated learning (FL) has received increasing attention as a distributed machine learning (ML) framework that does not require data exchange. However, current FL frameworks follow an idealized setup
Boyuan Li, Shengbo Chen, Zihao Peng
doaj +1 more source
Incremental Object Detection Inspired by Memory Mechanisms in Brain [PDF]
Jisuanji kexue, 2023 Incremental learning is key to bridging the enormous gap between artificial intelligence and human intelligence,mea-ning that agents can learn several tasks sequentially from a continuous stream of correlated data without forgetting,just as humans do ...
SHANG Di, LYU Yanfeng, QIAO Hong
doaj +1 more source
Learning Entropy: Multiscale Measure for Incremental Learning
Entropy, 2013 First, this paper recalls a recently introduced method of adaptive monitoring of dynamical systems and presents the most recent extension with a multiscale-enhanced approach.
Ivo Bukovsky
doaj +1 more source
Incrementally Learned Angular Representations for Few-Shot Class-Incremental Learning
IEEE Access, 2023 The main challenge of FSCIL is the trade-off between underfitting to a new session task and preventing forgetting the knowledge for earlier sessions. In this paper, we reveal that the angular space occupied by the features within the embedded area is relatively narrow.
Inug Yoon, Jong-Hwan Kim 0001
openaire +2 more sources