Tagger: Deep unsupervised perceptual grouping K Greff, A Rasmus, M Berglund, T Hao, H Valpola, J Schmidhuber Advances in Neural Information Processing Systems, 4484-4492, 2016 | 162 | 2016 |
Clustering by nonnegative matrix factorization using graph random walk Z Yang, T Hao, O Dikmen, X Chen, E Oja Advances in Neural Information Processing Systems, 1079-1087, 2012 | 99 | 2012 |
Recurrent Ladder Networks A Ilin, I Prémont-Schwarz, TH Hao, A Rasmus, R Boney, H Valpola arXiv preprint arXiv:1707.09219, 2017 | 50* | 2017 |
System for clustering and aggregating data from multiple sources T Tolvanen, A Tulla, T Hao US Patent App. 14/594,933, 2015 | 23 | 2015 |
Finding dependent and independent components from related data sets: A generalized canonical correlation analysis based method J Karhunen, T Hao, J Ylipaavalniemi Neurocomputing 113, 153-167, 2013 | 11 | 2013 |
Gated boltzmann machine in texture modeling T Hao, T Raiko, A Ilin, J Karhunen International Conference on Artificial Neural Networks, 124-131, 2012 | 11 | 2012 |
A generalized canonical correlation analysis based method for blind source separation from related data sets J Karhunen, T Hao, J Ylipaavalniemi Neural Networks (IJCNN), The 2012 International Joint Conference on, 1-9, 2012 | 10 | 2012 |
A canonical correlation analysis based method for improving BSS of two related data sets J Karhunen, T Hao, J Ylipaavalniemi International Conference on Latent Variable Analysis and Signal Separation …, 2012 | 3 | 2012 |
Finding dependent and independent components from two related data sets J Karhunen, T Hao Neural Networks (IJCNN), The 2011 International Joint Conference on, 457-466, 2011 | 3 | 2011 |
Pairwise Clustering with t-PLSI H Zhang, T Hao, Z Yang, E Oja International Conference on Artificial Neural Networks, 411-418, 2012 | 1 | 2012 |