Zero-shot incremental learning using spatial-frequency feature representations. [PDF]
Sci RepZero-shot incremental learning aims to enable a model to generalize to new classes without forgetting previously learned classes. However, the semantic gap between old and new sample classes can lead to catastrophic forgetting.
Ren J, Zhao Y, Zhang W, Sun C.
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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
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Experimental study on population-based incremental learning algorithms for dynamic optimization problems [PDF]
, 2005 Copyright @ Springer-Verlag 2005.Evolutionary algorithms have been widely used for stationary optimization problems. However, the environments of real world problems are often dynamic. This seriously challenges traditional evolutionary algorithms.
Yang, S +3 more
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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
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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
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Learning to Recognize Faces Incrementally [PDF]
, 2007 374
Oscar Déniz +4 more
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TopoART: A Topology Learning Hierarchical ART Network [PDF]
, 2010 Tscherepanow M. TopoART: A Topology Learning Hierarchical ART Network. In: Diamantaras K, Duch W, Iliadis LS, eds. Artificial Neural Networks (ICANN 2010). Lecture Notes in Computer Science, 6354.
Iliadis, Lazaros S. +4 more
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Machine Learning Potentials for Metal-Organic Frameworks using an Incremental Learning Approach [PDF]
, 2022 Computational modeling of physical processes in metal-organic frameworks (MOFs) is highly challenging. The intrinsic length and time scales often stretch far beyond the nanometer and picosecond range due to e.g.
Toon, Verstraelen +4 more
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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
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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
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