Results 11 to 20 of about 58,776 (261)
Incremental Cost-Sensitive Support Vector Machine With Linear-Exponential Loss
IEEE Access, 2020 Incremental learning or online learning as a branch of machine learning has attracted more attention recently. For large-scale problems and dynamic data problem, incremental learning overwhelms batch learning, because of its efficient treatment for new ...
Yue Ma, Kun Zhao, Qi Wang, Yingjie Tian
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On Learning the Geodesic Path for Incremental Learning [PDF]
2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 Neural networks notoriously suffer from the problem of catastrophic forgetting, the phenomenon of forgetting the past knowledge when acquiring new knowledge. Overcoming catastrophic forgetting is of significant importance to emulate the process of "incremental learning", where the model is capable of learning from sequential experience in an efficient ...
Christian Simon +2 more
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Analysis of Chinese Patents associated with Incremental Clustering Algorithms: A Review
Journal of Computing Research and Innovation, 2022 With the advent of Internet-of-Things (IoT) and overall Information-Technology world, an enormous amount of data is getting generated dynamically and in real-time mode, in almost all domains of research and application systems.
Archana Chaudhari +2 more
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Classification-oriented Incremental Dictionary Learning Algorithm [PDF]
Jisuanji gongcheng, 2017 Aiming at the problem that the computation cost of the traditional classification-oriented dictionary learning algorithms is too expensive on big datasets,this paper proposes a novel classification-oriented incremental dictionary learning algorithm.In ...
ZHANG Zhiwu,JING Xiaoyuan,WU Fei
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Incremental Task Learning with Incremental Rank Updates
, 2022 Code will be available at https://github.com/CSIPlab/task-increment-rank-update ...
Rakib Hyder +5 more
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Deep Error-Correcting Output Codes
Algorithms, 2023 Ensemble learning, online learning and deep learning are very effective and versatile in a wide spectrum of problem domains, such as feature extraction, multi-class classification and retrieval.
Li-Na Wang +4 more
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Class Incremental Learning Method Integrating Balance Weight and Self-supervision [PDF]
Jisuanji kexue yu tansuoIn view of the catastrophic forgetting phenomenon of knowledge in class incremental learning in image classification, the existing class incremental learning methods focus on the correction of the unbalanced offset of the model classification layer ...
GONG Jiayi, XU Xinlei, XIAO Ting, WANG Zhe
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Confidence Calibration for Incremental Learning
IEEE Access, 2020 Class incremental learning is an online learning paradigm wherein the classes to be recognized are gradually increased with limited memory, storing only a partial set of examples of past tasks.
Dongmin Kang +3 more
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Ensemble of SVMs for Incremental Learning [PDF]
, 2005 Support Vector Machines (SVMs) have been successfully applied to solve a large number of classification and regression problems. However, SVMs suffer from the catastrophic forgetting phenomenon, which results in loss of previously learned information. Learn++ have recently been introduced as an incremental learning algorithm.
Zeki Erdem +3 more
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Survey of Federated Incremental Learning [PDF]
Jisuanji kexueFederated learning,with its unique distributed training mode and secure aggregation mechanism,has become a research hotspot in recent years.However,in real-life scenarios,local model training often faces new data,leading to catastrophic forgetting of old
XIE Jiachen, LIU Bo, LIN Weiwei , ZHENG Jianwen
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