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Juha Karhunen
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Publications
- 2016
- [c40]Huiling Wang, Tapani Raiko, Lasse Lensu, Tinghuai Wang, Juha Karhunen:
Semi-supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation. ACCV (1) 2016: 163-179 - [i4]Huiling Wang, Tapani Raiko, Lasse Lensu, Tinghuai Wang, Juha Karhunen:
Semi-Supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation. CoRR abs/1606.02280 (2016) - [i3]Matti Lankinen, Hannes Heikinheimo, Pyry Takala, Tapani Raiko, Juha Karhunen:
A Character-Word Compositional Neural Language Model for Finnish. CoRR abs/1612.03266 (2016) - 2015
- [c35]Mathias Berglund, Tapani Raiko, Mikko Honkala, Leo Kärkkäinen, Akos Vetek, Juha Karhunen:
Bidirectional Recurrent Neural Networks as Generative Models. NIPS 2015: 856-864 - [i2]Mathias Berglund, Tapani Raiko, Mikko Honkala, Leo Kärkkäinen, Akos Vetek, Juha Karhunen:
Bidirectional Recurrent Neural Networks as Generative Models - Reconstructing Gaps in Time Series. CoRR abs/1504.01575 (2015) - 2013
- [c32]KyungHyun Cho, Tapani Raiko, Alexander Ilin, Juha Karhunen:
A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines. ICANN 2013: 106-113 - 2012
- [c30]Tele Hao, Tapani Raiko, Alexander Ilin, Juha Karhunen:
Gated Boltzmann Machine in Texture Modeling. ICANN (2) 2012: 124-131 - [i1]Markus Harva, Tapani Raiko, Antti Honkela, Harri Valpola, Juha Karhunen:
Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework. CoRR abs/1207.1380 (2012) - 2010
- [j24]Antti Honkela, Tapani Raiko, Mikael Kuusela, Matti Tornio, Juha Karhunen:
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes. J. Mach. Learn. Res. 11: 3235-3268 (2010) - 2009
- [c26]Mikael Kuusela, Tapani Raiko, Antti Honkela, Juha Karhunen:
A gradient-based algorithm competitive with variational Bayesian EM for mixture of Gaussians. IJCNN 2009: 1688-1695 - 2007
- [j21]Tapani Raiko, Harri Valpola, Markus Harva, Juha Karhunen:
Building Blocks for Variational Bayesian Learning of Latent Variable Models. J. Mach. Learn. Res. 8: 155-201 (2007) - [c25]Tapani Raiko, Alexander Ilin, Juha Karhunen:
Principal Component Analysis for Large Scale Problems with Lots of Missing Values. ECML 2007: 691-698 - [c24]Antti Honkela, Matti Tornio, Tapani Raiko, Juha Karhunen:
Natural Conjugate Gradient in Variational Inference. ICONIP (2) 2007: 305-314 - [c23]Tapani Raiko, Alexander Ilin, Juha Karhunen:
Principal Component Analysis for Sparse High-Dimensional Data. ICONIP (1) 2007: 566-575 - 2006
- [c22]Tapani Raiko, Matti Tornio, Antti Honkela, Juha Karhunen:
State Inference in Variational Bayesian Nonlinear State-Space Models. ICA 2006: 222-229 - 2005
- [c20]Markus Harva, Tapani Raiko, Antti Honkela, Harri Valpola, Juha Karhunen:
Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework. UAI 2005: 259-266
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