Results 281 to 290 of about 5,853,511 (292)

Neural Manifold Modulated Continual Reinforcement Learning for Musculoskeletal Robots

IEEE Transactions on Cognitive and Developmental Systems
The continual learning and development are significant for robots to learn multiple tasks sequentially. The difficulty lies in balancing the efficient learning of new tasks and overcoming catastrophic forgetting of old tasks.
Jiahao Chen, Ziyu Chen, Chaojing Yao, Hong Qiao   +3 more
semanticscholar   +1 more source

Learning Manifolds in Forensic Data

2006
Chemical data related to illicit cocaine seizures is analyzed using linear and nonlinear dimensionality reduction methods. The goal is to find relevant features that could guide the data analysis process in chemical drug profiling, a recent field in the crime mapping community. The data has been collected using gas chromatography analysis.
Ratle Frederic, Terrettaz-Zufferey Anne-Laure, Kanevski Mikail, Esseiva Pierre, Ribaux Olivier   +4 more
openaire   +1 more source

Multimodal emotion recognition based on manifold learning and convolution neural network

Multimedia tools and applications, 2022
Yong Zhang, Cheng Cheng, YiDie Zhang
semanticscholar   +1 more source

Elements of Dimensionality Reduction and Manifold Learning

, 2023
Benyamin Ghojogh, Mark Crowley, F. Karray, A. Ghodsi   +3 more
semanticscholar   +1 more source

Similarity Learning of Manifold Data

IEEE Transactions on Cybernetics, 2015
Without constructing adjacency graph for neighborhood, we propose a method to learn similarity among sample points of manifold in Laplacian embedding (LE) based on adding constraints of linear reconstruction and least absolute shrinkage and selection operator type minimization. Two algorithms and corresponding analyses are presented to learn similarity
null Si-Bao Chen, Chris H. Q. Ding, null Bin Luo   +2 more
openaire   +2 more sources

Multi-label feature selection based on logistic regression and manifold learning

Applied intelligence (Boston), 2021
Yao Zhang, Ying-cang Ma, Xiaofei Yang
semanticscholar   +1 more source

Manifold learning with structured subspace for multi-label feature selection

Pattern Recognition, 2021
Yuling Fan, Jinghua Liu, Peizhong Liu, Yongzhao Du, Weiyao Lan, Shunxiang Wu   +5 more
semanticscholar   +1 more source

Manifold Learning

2020
Pavan Turaga, Rushil Anirudh, Rama Chellappa   +2 more
openaire   +1 more source

Manifold Learning

2009
Philippos Mordohai, Gerard Medioni
openaire   +2 more sources

Boring chatter identification by multi-sensor feature fusion and manifold learning

The International Journal of Advanced Manufacturing Technology, 2020
Jinqiu Pan, Zhibing Liu, Xibin Wang, Che Chen, Xiaoyu Pan   +4 more
semanticscholar   +1 more source