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Publication search results
found 30 matches
- 2024
- Shenjie Jiang, Peng Song, Shaokai Li, Run Wang, Wenming Zheng:
Multi-Source Unsupervised Transfer Components Learning for Cross-Domain Speech Emotion Recognition. ICASSP 2024: 10226-10230 - 2023
- Aapo Hyvärinen, Ilyes Khemakhem, Hiroshi Morioka:
Nonlinear independent component analysis for principled disentanglement in unsupervised deep learning. Patterns 4(10): 100844 (2023) - Cheng Liang, Lianzhi Wang, Li Liu, Huaxiang Zhang, Fei Guo:
Multi-view unsupervised feature selection with tensor robust principal component analysis and consensus graph learning. Pattern Recognit. 141: 109632 (2023) - Shenjie Jiang, Peng Song, Shaokai Li, Keke Zhao, Wenming Zheng:
Unsupervised Transfer Components Learning for Cross-Domain Speech Emotion Recognition. INTERSPEECH 2023: 4538-4542 - Jacek Dmochowski:
Granger Components Analysis: Unsupervised learning of latent temporal dependencies. NeurIPS 2023 - Aapo Hyvärinen, Ilyes Khemakhem, Hiroshi Morioka:
Nonlinear Independent Component Analysis for Principled Disentanglement in Unsupervised Deep Learning. CoRR abs/2303.16535 (2023) - 2021
- Chinedu Anthony Anene, Faraz Khan, Findlay Bewicke-Copley, Eleni Maniati, Jun Wang:
ACSNI: An unsupervised machine-learning tool for prediction of tissue-specific pathway components using gene expression profiles. Patterns 2(6): 100270 (2021) - Kamal Maanicshah, Manar Amayri, Nizar Bouguila, Wentao Fan:
Unsupervised Learning Using Variational Inference on Finite Inverted Dirichlet Mixture Models with Component Splitting. Wirel. Pers. Commun. 119(2): 1817-1844 (2021) - 2019
- Kamal Maanicshah, Samr Ali, Wentao Fan, Nizar Bouguila:
Unsupervised Variational Learning of Finite Generalized Inverted Dirichlet Mixture Models with Feature Selection and Component Splitting. ICIAR (2) 2019: 94-105 - Ali Payani, Faramarz Fekri:
Unsupervised Learning of Independent Components from a Noisy and Non-Linear Mixture via Variational Autoencoders. SPAWC 2019: 1-5 - 2018
- Michael J. Friedel, Paolo Massimo Buscema, Luiz Eduardo Vicente, Fabio Iwashita, Andréa Koga-Vicente:
Mapping fractional landscape soils and vegetation components from Hyperion satellite imagery using an unsupervised machine-learning workflow. Int. J. Digit. Earth 11(7): 670-690 (2018) - Eren Gultepe, Masoud Makrehchi:
Improving clustering performance using independent component analysis and unsupervised feature learning. Hum. centric Comput. Inf. Sci. 8: 25 (2018) - Daniel Carlos Guimarães Pedronette, Filipe Marcel Fernandes Gonçalves, Ivan Rizzo Guilherme:
Unsupervised manifold learning through reciprocal kNN graph and Connected Components for image retrieval tasks. Pattern Recognit. 75: 161-174 (2018) - Sida Liu, Adrian Barbu:
Unsupervised Learning of Mixture Models with a Uniform Background Component. CoRR abs/1804.02744 (2018) - 2017
- Sebastian Johann Wetzel:
Unsupervised learning of phase transitions: from principal component analysis to variational autoencoders. CoRR abs/1703.02435 (2017) - 2016
- Sharon X. Lee, Geoffrey J. McLachlan:
Unsupervised Component-Wise EM Learning for Finite Mixtures of Skew t-distributions. ADMA 2016: 692-699 - 2014
- Daniel Carlos Guimarães Pedronette, Ricardo da Silva Torres:
Unsupervised manifold learning by correlation graph and strongly connected components for image retrieval. ICIP 2014: 1892-1896 - Faicel Chamroukhi:
Unsupervised learning of regression mixture models with unknown number of components. CoRR abs/1409.6981 (2014) - 2012
- Michael W. Spratling:
Unsupervised Learning of Generative and Discriminative Weights Encoding Elementary Image Components in a Predictive Coding Model of Cortical Function. Neural Comput. 24(1): 60-103 (2012) - Zhenwen Dai, Jörg Lücke:
Unsupervised learning of translation invariant occlusive components. CVPR 2012: 2400-2407 - 2010
- Behnood Gholami, Wassim M. Haddad, Allen R. Tannenbaum:
An unsupervised learning approach for facial expression recognition using semi-definite programming and generalized principal component analysis. Image Processing: Algorithms and Systems 2010: 75320 - 2009
- Michael W. Spratling, Kris De Meyer, Raul Kompass:
Unsupervised Learning of Overlapping Image Components Using Divisive Input Modulation. Comput. Intell. Neurosci. 2009: 381457:1-381457:19 (2009) - Haiping Lu, Konstantinos N. Plataniotis, Anastasios N. Venetsanopoulos:
Uncorrelated Multilinear Principal Component Analysis for Unsupervised Multilinear Subspace Learning. IEEE Trans. Neural Networks 20(11): 1820-1836 (2009) - 2007
- Constantinos Constantinopoulos, Aristidis Likas:
Unsupervised Learning of Gaussian Mixtures Based on Variational Component Splitting. IEEE Trans. Neural Networks 18(3): 745-755 (2007) - 2006
- Michael W. Graham, David J. Miller:
Unsupervised learning of parsimonious mixtures on large spaces with integrated feature and component selection. IEEE Trans. Signal Process. 54(4): 1289-1303 (2006) - Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen:
Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels. ICDM 2006: 1178-1182 - 2004
- Erkki Oja:
Finding Clusters and Components by Unsupervised Learning. SSPR/SPR 2004: 1-15 - 2003
- George C. J. Fernandez:
Principal Component Analysis, A Powerful Unsupervised Learning Technique. METMBS 2003: 360-365 - 2002
- Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst D. Simon:
Unsupervised Learning: Self-aggregation in Scaled Principal Component Space. PKDD 2002: 112-124 - 1997
- Mark A. Girolami, Colin Fyfe:
Generalised independent component analysis through unsupervised learning with emergent Bussgang properties. ICNN 1997: 1788-1791
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