pattern learningの例文

• Note that this is pattern learning ( weights updated after every training example ).
• Another variant of these learning equations, called Outstar Learning, was used by Grossberg starting in 1967 for spatial pattern learning.
• Erlebach et al . give a more efficient version of Angluin's pattern learning algorithm, as well as a parallelized version.
• Researchers from National Chiao Tung University designed a RM-CNN processor to learn more about pattern learning & recognition and researchers from the National Lien-Ho Institute of Technology developed a Min-Max CNN ( MMCNN ) processor to learn more about CNN dynamics.
• The foundations of neural network research : competitive learning, self-organizing maps, instars, and masking fields ( for classification ), outstars ( for spatial pattern learning ), avalanches ( for serial order learning and performance ), gated dipoles ( for opponent processing );
• Levinson and Rota, who returned to MIT when Grossberg arrived there, each submitted some of Grossberg s early articles in 1967-1971 on the foundational concepts and equations of neural networks, global content addressable memory theorems, and constructions of specialized networks for spatial and spatio-temporal pattern learning, for publication in prestigious scientific and mathematical journals, notably the Proceedings of the National Academy of Sciences.
• CNN processors lend themselves to local, low-level, processor intensive operations and have been used in feature extraction, level and gain adjustments, color constancy detection, contrast enhancement, deconvolution, image compression, motion estimation, image encoding, image decoding, image segmentation, orientation preference maps, pattern learning / recognition, multi-target tracking, image stabilization, resolution enhancement, image deformations and mapping, image inpainting, optical flow, contouring, moving object detection, axis of symmetry detection, and image fusion.