Publications by Juha Karhunen
2014
26.
Arbitrary Category Classification of Websites Based on Image Content (2014)
AUTHORS:
Akusok Anton,
Miche Yoan
,
Karhunen Juha
,
Bjorck Kaj-Mikael,
Nian Rui,
Lendasse Amaury
BOOKTITLE:
Proc. of the 2014 Int. Symp. on Extreme Learning Machines (ELM2014)
PAGES:
xxx-xxx
25.
Variable Selection for Regression Problems Using Gaussian Mixture Models to Estimate Mutual Information (2014)
AUTHORS:
Eirola Emil
,
Lendasse Amaury
,
Karhunen Juha
BOOKTITLE:
Proc. of the 2014 Int. Joint Conf. on Neural Networks (IJCNN2014)
PAGES:
xxx-xxx
[INTERNALPDF]
2013
24.
Development of a Neural Network Model for Cloud Detection by Means of NASA-Aura OMI VIS Radiance Measurements (2013)
AUTHORS:
Saponaro Giulia,
Kolmonen Pekka,
Karhunen Juha
,
Tamminen Johanna,
de Leeuw Gerrit
JOURNAL:
Atmospheric Measurement Techniques
VOLUME:
6
PAGES:
2301--2309
23.
A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines (2013)
AUTHORS:
Cho KyungHyun
,
Raiko Tapani
,
Ilin Alexander
,
Karhunen Juha
BOOKTITLE:
Proceedings of the 23rd Int.\ Conf.\ on Artificial Neural Networks (ICANN 2013)
SERIES:
Lecture Notes in Computer Science
VOLUME:
8131
PAGES:
106--113
[INTERNALPDF]
22.
Finding Dependent and Independent Components from Related Data Sets: A Generalized Canonical Correlation Based Method (2013)
AUTHORS:
Karhunen Juha
,
Hao Tele
,
jarkko Ylipaavalniemi
JOURNAL:
Neurocomputing
VOLUME:
113
PAGES:
153--167
2012
21.
A Canonical Correlation Analysis Based Method for Improving BSS of Two Related Data Sets (2012)
AUTHORS:
Karhunen Juha
,
Hao Tele
,
Ylipaavalniemi Jarkko
BOOKTITLE:
Proc. of the 10th Int. Conf. on Latent Variable Analysis and Signal Separation (LVA/ICA 2012)
SERIES:
Lecture Notes in Computer Science
VOLUME:
7191
PAGES:
91--98
20.
A Generalized Canonical Correlation Analysis Based Method for Blind Source Separation from Related Data Sets (2012)
AUTHORS:
Karhunen Juha
,
Hao Tele
,
Ylipaavalniemi Jarkko
BOOKTITLE:
Proc. of the 2012 Int. Joint Conf. on Neural Networks (IJCNN2012)
PAGES:
xxx-xxx
19.
A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines (2012)
AUTHORS:
Cho KyungHyun
,
Raiko Tapani
,
Ilin Alexander
,
Karhunen Juha
BOOKTITLE:
Proceedings of the NIPS 2012 Workshop on Deep Learning and Unsupervised Feature Learning
PAGES:
xx-xx
[INTERNALPDF]
18.
Advances in Training Restricted Boltzmann Machines (Abstract) (2012)
AUTHORS:
Cho KyungHyun
,
Raiko Tapani
,
Karhunen Juha
17.
Bayesian Robust PCA of Incomplete Data (2012)
AUTHORS:
Luttinen Jaakko
,
Ilin Alexander
,
Karhunen Juha
JOURNAL:
Neural Processing Letters
VOLUME:
36
PAGES:
189--202
16.
Gated Boltzmann Machines in Texture Modeling (2012)
AUTHORS:
Hao Tele
,
Raiko Tapani
,
Ilin Alexander
,
Karhunen Juha
BOOKTITLE:
Artificial Neural Networks and Machine Learning - ICANN 2012
SERIES:
Lecture Notes in Computer Science
VOLUME:
7553
PAGES:
124--131
[INTERNALPDF]
2011
15.
Finding Dependent and Independent Components from Two Related Data Sets (2011)
AUTHORS:
Karhunen Juha
,
Hao Tele
BOOKTITLE:
Proc. of the 2011 Int. Joint Conf. on Neural Networks (IJCNN2011)
PAGES:
457--466
14.
Robust PCA Methods for Complete and Missing Data (2011)
AUTHORS:
Karhunen Juha
JOURNAL:
Neural Network World
VOLUME:
21
PAGES:
357--392
2010
13.
Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes (2010)
AUTHORS:
Honkela Antti
,
Raiko Tapani
,
Kuusela Mikael
,
Tornio Matti,
Karhunen Juha
JOURNAL:
Journal of Machine Learning Research
VOLUME:
11
PAGES:
3283--3316
12.
Chapter 14: Nonlinear Mixtures (2010)
AUTHORS:
Jutten Christian,
Babaie-Zadeh Massoud,
Karhunen Juha
[INTERNALPDF]
2009
11.
A Gradient-Based Algorithm Competitive with Variational Bayesian EM for Mixture of Gaussians (2009)
AUTHORS:
Kuusela Mikael
,
Raiko Tapani
,
Honkela Antti
,
Karhunen Juha
BOOKTITLE:
Proc. of Int. Joint Conf. on Neural Networks (IJCNN09)
PAGES:
1688--1695
10.
Bayesian Robust PCA for Incomplete Data (2009)
AUTHORS:
Luttinen Jaakko
,
Ilin Alexander
,
Karhunen Juha
BOOKTITLE:
Proc. of the 8th Int. Conf. on Independent Component Analysis and Signal Separation (ICA 2009)
SERIES:
Lecture Notes in Computer Science
VOLUME:
5441
PAGES:
66--73
2008
9.
Macadamia: Master's Programme in Machine Learning and Data Mining (2008)
AUTHORS:
Raiko Tapani
,
Puolamäki Kai,
Karhunen Juha
,
Hollmén Jaakko,
Honkela Antti
,
Kaski Samuel,
Mannila Heikki
,
Oja Erkki
,
Simula Olli
BOOKTITLE:
Teaching Machine Learning: Workshop on open problems and new directions
8.
Natural Conjugate Gradient in Variational Inference (2008)
AUTHORS:
Honkela Antti
,
Tornio Matti,
Raiko Tapani
,
Karhunen Juha
BOOKTITLE:
Proceedings of the 14th International Conference on Neural Information Processing (ICONIP 2007)
SERIES:
Lecture Notes in Computer Science
VOLUME:
4985
PAGES:
305--314
7.
Principal Component Analysis for Sparse High-Dimensional Data (2008)
AUTHORS:
Raiko Tapani
,
Ilin Alexander
,
Karhunen Juha
BOOKTITLE:
Proc. of the 14th Int. Conf. on Neural Information Processing (ICONIP 2007)
SERIES:
Lecture Notes in Computer Science
VOLUME:
4985
PAGES:
566--575
6.
Variational Inference and Learning for Continuous-Time Nonlinear State-Space Models (2008)
AUTHORS:
Honkela Antti
,
Harva Markus,
Raiko Tapani
,
Karhunen Juha
BOOKTITLE:
Proc. of PASCAL 2008 Workshop on Approximate Inference in Stochastic Processes and Dynamical Systems
2007
5.
Blind Separation of Nonlinear Mixtures by Variational Bayesian Learning (2007)
AUTHORS:
Honkela Antti
,
Valpola Harri
,
Ilin Alexander
,
Karhunen Juha
JOURNAL:
Digital Signal Processing
VOLUME:
17
PAGES:
914--934
4.
Building blocks for variational Bayesian learning of latent variable models (2007)
AUTHORS:
Raiko Tapani
,
Valpola Harri
,
Harva Markus,
Karhunen Juha
JOURNAL:
Journal of Machine Learning Research
VOLUME:
8
PAGES:
155--201
3.
Extending ICA for Finding Jointly Dependent Components from Two Related Data Sets (2007)
AUTHORS:
Karhunen Juha
,
Ukkonen Tomas
JOURNAL:
Neurocomputing
VOLUME:
70
PAGES:
2969--2979
2.
Principal Component Analysis for Large Scale Problems with Lots of Missing Values (2007)
AUTHORS:
Raiko Tapani
,
Ilin Alexander
,
Karhunen Juha
BOOKTITLE:
Proc. of the 18th European Conf. on Machine Learning (ECML 2007)
1.
Time Series Prediction with Variational Bayesian Nonlinear State-Space Models (2007)
AUTHORS:
Tornio Matti,
Honkela Antti
,
Karhunen Juha
BOOKTITLE:
Proc. of the European Symposium on Time Series Prediction (ESTSP 2007)
PAGES:
11-19