Scalable Semi-Supervised Learning by Efficient Anchor Graph Regularization
Tóm tắt
Từ khóa
Tài liệu tham khảo
mohar, 1991, The laplacian spectrum of graphs, Graph Theory Combinatorics Appl, 2, 871
liu, 0, Large graph construction for scalable semi-supervised learning, Proc 27th Int Conf Mach Learning, 679
liu, 0, Hashing with graphs, Proc 28th Int Conf Mach Learning, 1
melacci, 2011, Laplacian support vector machines trained in the primal, J Mach Learning Res, 12, 1149
zhou, 0, Learning with local and global consistency, Proc Conf Adv Neural Inform Process Syst, 16, 321
zhu, 0, Semi-supervised learning using Gaussian fields and harmonic functions, Proc 20th Int Conf Mach Learning, 3, 912
elkan, 0, Using the triangle inequality to accelerate k-means, Proc 20th Int Conf Mach Learning, 3, 147
fergus, 0, Semi-supervised learning in gigantic image collections, Proc Conf Adv Neural Inform Process Syst, 522
jaakkola, 0, Partially labeled classification with Markov random walks, Proc Conf Adv Neural Inform Process Syst, 14, 945
joachims, 0, Transductive inference for text classification using support vector machines, Proc 16th Int Conf Mach Learning, 200
bishop, 2006, Pattern Recognition and Machine Learning
cai, 2015, Large scale spectral clustering with landmark-based representation, IEEE Trans Cybern, 45, 1669, 10.1109/TCYB.2014.2358564
zelnik-manor, 0, Self-tuning spectral clustering, Proc Conf Adv Neural Inform Process Syst, 1601
yang, 0, Clustering by low-rank doubly stochastic matrix decomposition, Proc 29th Int Conf Mach Learn, 831