Juha Karhunen - RankMe

77 papers A 1B 12C 4Misc 5Journal 34Unranked 20

Year	Rank	Type	Title / Venue / Authors
2019	J	`jnl`	Method for Detecting aging Related Failures of Process Sensors via noise signal Measurement. Int. J. Comput. Topi Toosi, Miki Sirola, Jarkko Laukkanen, Mark van Heeswijk, Juha Karhunen
2018	J	`jnl`	Stochastic discriminant analysis for linear supervised dimension reduction. Neurocomputing Mika Juuti, Francesco Corona, Juha Karhunen
2017	J	`jnl`	A pragmatic android malware detection procedure. Comput. Secur. Paolo Palumbo, Luiza Sayfullina, Dmitriy Komashinskiy, Emil Eirola, Juha Karhunen
2017	—	`conf`	Detecting aging of process sensors with noise signal measurement. IDAACS Topi Toosi, Miki Sirola, Jarkko Laukkanen, Mark van Heeswijk, Juha Karhunen
2017	B	`conf`	Image pseudo tag generation with Deep Boltzmann machine anc topic-concept similarity map. IJCNN Satoru Ishikawa, Jorma Laaksonen, Juha Karhunen
2016	J	`jnl`	A Character-Word Compositional Neural Language Model for Finnish. CoRR Matti Lankinen, Hannes Heikinheimo, Pyry Takala, Tapani Raiko, Juha Karhunen
2016	—	`conf`	Air quality forecasting using neural networks. SSCI Chen Zhao, Mark van Heeswijk, Juha Karhunen
2016	C	`conf`	Android Malware Detection: Building Useful Representations. ICMLA Luiza Sayfullina, Emil Eirola, Dmitry Komashinsky, Paolo Palumbo, Juha Karhunen
2016	B	`conf`	Gaussian Process kernels for popular state-space time series models. IJCNN Alexander Grigorievskiy, Juha Karhunen
2016	J	`jnl`	Semi-Supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation. CoRR Huiling Wang, Tapani Raiko, Lasse Lensu, Tinghuai Wang, Juha Karhunen
2016	—	`conf`	Semi-supervised Domain Adaptation for Weakly Labeled Semantic Video Object Segmentation. ACCV (1) Huiling Wang, Tapani Raiko, Lasse Lensu, Tinghuai Wang, Juha Karhunen
2015	J	`jnl`	Arbitrary Category Classification of Websites Based on Image Content. IEEE Comput. Intell. Mag. Anton Akusok, Yoan Miche, Juha Karhunen, Kaj-Mikael Björk, Rui Nian, Amaury Lendasse
2015	J	`jnl`	Bidirectional Recurrent Neural Networks as Generative Models - Reconstructing Gaps in Time Series. CoRR Mathias Berglund, Tapani Raiko, Mikko Honkala, Leo Kärkkäinen, Akos Vetek, Juha Karhunen
2015	—	`conf`	Bidirectional Recurrent Neural Networks as Generative Models. NIPS Mathias Berglund, Tapani Raiko, Mikko Honkala, Leo Kärkkäinen, Akos Vetek, Juha Karhunen
2015	—	`conf`	Efficient Detection of Zero-day Android Malware Using Normalized Bernoulli Naive Bayes. TrustCom/BigDataSE/ISPA (1) Luiza Sayfullina, Emil Eirola, Dmitry Komashinsky, Paolo Palumbo, Yoan Miché, Amaury Lendasse, Juha Karhunen
2015	B	`conf`	Stochastic Discriminant Analysis. IJCNN Mika Juuti, Francesco Corona, Juha Karhunen
2014	B	`conf`	Variable selection for regression problems using Gaussian mixture models to estimate mutual information. IJCNN Emil Eirola, Amaury Lendasse, Juha Karhunen
2013	C	`conf`	A Two-Stage Pretraining Algorithm for Deep Boltzmann Machines. ICANN Kyunghyun Cho, Tapani Raiko, Alexander Ilin, Juha Karhunen
2013	J	`jnl`	Finding dependent and independent components from related data sets: A generalized canonical correlation analysis based method. Neurocomputing Juha Karhunen, Tele Hao, Jarkko Ylipaavalniemi
2012	—	`conf`	A Canonical Correlation Analysis Based Method for Improving BSS of Two Related Data Sets. LVA/ICA Juha Karhunen, Tele Hao, Jarkko Ylipaavalniemi
2012	B	`conf`	A generalized canonical correlation analysis based method for blind source separation from related data sets. IJCNN Juha Karhunen, Tele Hao, Jarkko Ylipaavalniemi
2012	J	`jnl`	Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework CoRR Markus Harva, Tapani Raiko, Antti Honkela, Harri Valpola, Juha Karhunen
2012	J	`jnl`	Bayesian Robust PCA of Incomplete Data. Neural Process. Lett. Jaakko Luttinen, Alexander Ilin, Juha Karhunen
2012	—	`conf`	Gated Boltzmann Machine in Texture Modeling. ICANN (2) Tele Hao, Tapani Raiko, Alexander Ilin, Juha Karhunen
2011	B	`conf`	Finding dependent and independent components from two related data sets. IJCNN Juha Karhunen, Tele Hao
2010	J	`jnl`	Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes. J. Mach. Learn. Res. Antti Honkela, Tapani Raiko, Mikael Kuusela, Matti Tornio, Juha Karhunen
2009	B	`conf`	A gradient-based algorithm competitive with variational Bayesian EM for mixture of Gaussians. IJCNN Mikael Kuusela, Tapani Raiko, Antti Honkela, Juha Karhunen
2009	—	`conf`	Bayesian Robust PCA for Incomplete Data. ICA Jaakko Luttinen, Alexander Ilin, Juha Karhunen
2007	J	`jnl`	Blind separation of nonlinear mixtures by variational Bayesian learning. Digit. Signal Process. Antti Honkela, Harri Valpola, Alexander Ilin, Juha Karhunen
2007	J	`jnl`	Building Blocks for Variational Bayesian Learning of Latent Variable Models. J. Mach. Learn. Res. Tapani Raiko, Harri Valpola, Markus Harva, Juha Karhunen
2007	J	`jnl`	Extending ICA for finding jointly dependent components from two related data sets. Neurocomputing Juha Karhunen, Tomas Ukkonen
2007	—	`conf`	Natural Conjugate Gradient in Variational Inference. ICONIP (2) Antti Honkela, Matti Tornio, Tapani Raiko, Juha Karhunen
2007	—	`conf`	Principal Component Analysis for Large Scale Problems with Lots of Missing Values. ECML Tapani Raiko, Alexander Ilin, Juha Karhunen
2007	—	`conf`	Principal Component Analysis for Sparse High-Dimensional Data. ICONIP (1) Tapani Raiko, Alexander Ilin, Juha Karhunen
2006	B	`conf`	Generalizing Independent Component Analysis for Two Related Data Sets. IJCNN Juha Karhunen, Tomas Ukkonen
2006	J	`jnl`	Jammer suppression in DS-CDMA arrays using independent component analysis. IEEE Trans. Wirel. Commun. Karthikesh Raju, Tapani Ristaniemi, Juha Karhunen, Erkki Oja
2006	—	`conf`	State Inference in Variational Bayesian Nonlinear State-Space Models. ICA Tapani Raiko, Matti Tornio, Antti Honkela, Juha Karhunen
2005	A	`conf`	Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework. UAI Markus Harva, Tapani Raiko, Antti Honkela, Harri Valpola, Juha Karhunen
2004	J	`jnl`	Advances in blind source separation (BSS) and independent component analysis (ICA) for nonlinear mixtures. Int. J. Neural Syst. Christian Jutten, Juha Karhunen
2004	J	`jnl`	Hierarchical models of variance sources. Signal Process. Harri Valpola, Markus Harva, Juha Karhunen
2003	J	`jnl`	Accelerating Cyclic Update Algorithms for Parameter Estimation by Pattern Searches. Neural Process. Lett. Antti Honkela, Harri Valpola, Juha Karhunen
2003	J	`jnl`	Nonlinear Blind Source Separation by Variational Bayesian Learning. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. Harri Valpola, Erkki Oja, Alexander Ilin, Antti Honkela, Juha Karhunen
2002	J	`jnl`	An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models. Neural Comput. Harri Valpola, Juha Karhunen
2002	—	`conf`	Jammer cancellation in DS-CDMA arrays: pre and post switching of ICA and RAKE. NNSP Tapani Ristaniemi, Karthikesh Raju, Juha Karhunen, Erkki Oja
2002	—	`conf`	Jammer mitigation in DS-CDMA array system using independent component analysis. ICC Tapani Ristaniemi, Karthikesh Raju, Juha Karhunen
2002	—	`conf`	Suppression of bit-pulsed jammer signals in DS-CDMA array system using independent component analysis. ISCAS (1) Karthikesh Raju, Tapani Ristaniemi, Juha Karhunen, A. Oja
2001	—	`book`	Independent Component Analysis Aapo Hyvärinen, Juha Karhunen, Erkki Oja
2000	—	`conf`	Blind separation of convolved mixtures for CDMA systems. EUSIPCO Razvan Cristescu, Tapani Ristaniemi, Jyrki Joutsensalo, Juha Karhunen
2000	B	`conf`	CDMA delay estimation using fast ICA algorithm. PIMRC Razvan Cristescu, Tapani Ristaniemi, Jyrki Joutsensalo, Juha Karhunen
2000	J	`jnl`	Local Linear Independent Component Analysis Based on Clustering. Int. J. Neural Syst. Juha Karhunen, Simona Malaroiu, Mika Ilmoniemi
1999	B	`conf`	A comparison of neural ICA algorithms using real-world data. IJCNN Xavier Giannakopoulos, Juha Karhunen, Erkki Oja
1999	J	`jnl`	An Experimental Comparison of Neural Algorithms for Independent Component Analysis and Blind Separation. Int. J. Neural Syst. Xavier Giannakopoulos, Juha Karhunen, Erkki Oja
1999	B	`conf`	Locally linear independent component analysis. IJCNN Juha Karhunen, Simona Malaroiu
1999	J	`jnl`	Neural networks for blind separation with unknown number of sources. Neurocomputing Andrzej Cichocki, Juha Karhunen, Wlodzimierz Kasprzak, Ricardo Vigário
1998	—	`conf`	Blind separation from ε-contaminated mixtures. EUSIPCO Visa Koivunen, Petteri Pajunen, Juha Karhunen, Erkki Oja
1998	J	`jnl`	Principal component neural networks - Theory and applications - Pattern Anal. Appl. Juha Karhunen
1998	J	`jnl`	The nonlinear PCA criterion in blind source separation: Relations with other approaches. Neurocomputing Juha Karhunen, Petteri Pajunen, Erkki Oja
1997	C	`conf`	A Maximum Likelihood Approach to Nonlinear Blind Source Separation. ICANN Petteri Pajunen, Juha Karhunen
1997	J	`jnl`	A class of neural networks for independent component analysis. IEEE Trans. Neural Networks Juha Karhunen, Erkki Oja, Liuyue Wang, Ricardo Vigário, Jyrki Joutsensalo
1997	Misc	`conf`	Applications of neural blind separation to signal and image processing. ICASSP Juha Karhunen, Aapo Hyvärinen, Ricardo Vigário, Jarmo Hurri, Erkki Oja
1997	—	`conf`	Blind source separation and tracking using nonlinear PCA criterion: a least-squares approach. ICNN Juha Karhunen, Petteri Pajunen
1997	Misc	`conf`	Blind source separation using least-squares type adaptive algorithms. ICASSP Juha Karhunen, Petteri Pajunen
1997	C	`conf`	From Neural Principal Components to Neural Independent Components. ICANN Erkki Oja, Juha Karhunen, Aapo Hyvärinen
1997	J	`jnl`	Least-Squares Methods for Blind Source Separation Based on Nonlinear PCA. Int. J. Neural Syst. Petteri Pajunen, Juha Karhunen
1997	J	`jnl`	On Neural Blind Separation with Noise Suppression and Redundancy Reduction. Int. J. Neural Syst. Juha Karhunen, Andrzej Cichocki, Wlodzimierz Kasprzak, Petteri Pajunen
1996	J	`jnl`	A Unified Neural Bigradient Algorithm for robust PCA and MCA. Int. J. Neural Syst. Liuyue Wang, Juha Karhunen
1996	B	`conf`	Neural approaches to independent component analysis and source separation. ESANN Juha Karhunen
1995	—	`conf`	A bigradient optimization approach for robust PCA, MCA, and source separation. ICNN Liuyue Wang, Juha Karhunen, Erkki Oja
1995	J	`jnl`	A nonlinear extension of the Generalized Hebbian learning. Neural Process. Lett. Jyrki Joutsensalo, Juha Karhunen
1995	J	`jnl`	Generalizations of principal component analysis, optimization problems, and neural networks. Neural Networks Juha Karhunen, Jyrki Joutsensalo
1995	—	`conf`	Nonlinear PCA type approaches for source separation and independent component analysis. ICNN Juha Karhunen, Liuyue Wang, Ricardo Vigário
1994	J	`jnl`	Representation and separation of signals using nonlinear PCA type learning. Neural Networks Juha Karhunen, Jyrki Joutsensalo
1994	J	`jnl`	Stability of Oja's PCA Subspace Rule. Neural Comput. Juha Karhunen
1992	J	`jnl`	Sinusoidal frequency estimation by signal subspace approximation. IEEE Trans. Signal Process. Juha Karhunen, Jyrki Joutsensalo
1991	Misc	`conf`	Robust MUSIC based on direct signal subspace estimation. ICASSP Juha Karhunen, Jyrki Joutsensalo
1991	Misc	`conf`	Tracking of sinusoidal frequencies by neural network learning algorithms. ICASSP Juha Karhunen, Jyrki Joutsensalo
1984	Misc	`conf`	Adaptive algorithms for estimating eigenvectors of correlation type matrices. ICASSP Juha Karhunen