Erkki Oja

Publication Activity (10 Years)

Years Active: 1979-2016
Publications (10 Years): 1

Top Venues

CoRR

TRECVID

ICONIP (3)

Neurocomputing

Publications

Zhirong Yang, Jukka Corander, Erkki Oja
Low-Rank Doubly Stochastic Matrix Decomposition for Cluster Analysis. J. Mach. Learn. Res. 17 (2016)
He Zhang, Mehmet Gönen, Zhirong Yang, Erkki Oja
Understanding emotional impact of images using Bayesian multiple kernel learning. Neurocomputing 165 (2015)
Ehsan Amid, Onur Dikmen, Erkki Oja
Optimizing the Information Retrieval Trade-off in Data Visualization Using $α$-Divergence. CoRR (2015)
Onur Dikmen, Zhirong Yang, Erkki Oja
Learning the Information Divergence. IEEE Trans. Pattern Anal. Mach. Intell. 37 (7) (2015)
Onur Dikmen, Zhirong Yang, Erkki Oja
Learning the Information Divergence. CoRR (2014)
Satoru Ishikawa, Markus Koskela, Mats Sjöberg, Rao Muhammad Anwer, Jorma Laaksonen, Erkki Oja
PicSOM Experiments in TRECVID 2014. TRECVID (2014)
Nicolau Gonçalves, Erkki Oja, Ricardo Vigário
Medical Document Mining Combining Image Exploration and Text Characterization. Discovery Science (2014)
He Zhang, Zhirong Yang, Erkki Oja
Adaptive multiplicative updates for quadratic nonnegative matrix factorization. Neurocomputing 134 (2014)
He Zhang, Zhirong Yang, Erkki Oja
Improving cluster analysis by co-initializations. Pattern Recognit. Lett. 45 (2014)
He Zhang, Mehmet Gönen, Zhirong Yang, Erkki Oja
Predicting Emotional States of Images Using Bayesian Multiple Kernel Learning. ICONIP (3) (2013)
He Zhang, Zhirong Yang, Mehmet Gönen, Markus Koskela, Jorma Laaksonen, Timo Honkela, Erkki Oja
Affective Abstract Image Classification and Retrieval Using Multiple Kernel Learning. ICONIP (3) (2013)
Zhanxing Zhu, Zhirong Yang, Erkki Oja
Multiplicative Updates for Learning with Stochastic Matrices. SCIA (2013)
Satoru Ishikawa, Markus Koskela, Mats Sjöberg, Jorma Laaksonen, Erkki Oja, Ehsan Amid, Kalle J. Palomäki, Annamaria Mesaros, Mikko Kurimo
PicSOM Experiments in TRECVID 2013. TRECVID (2013)
Erkki Oja
IEEE Fellows' Class of 2013 [Society Briefs]. IEEE Comput. Intell. Mag. 8 (2) (2013)
Zhirong Yang, Erkki Oja
Clustering by Low-Rank Doubly Stochastic Matrix Decomposition CoRR (2012)
Zhirong Yang, Erkki Oja
Clustering by Low-Rank Doubly Stochastic Matrix Decomposition. ICML (2012)
Mats Sjöberg, Satoru Ishikawa, Markus Koskela, Jorma Laaksonen, Erkki Oja
PicSOM Experiments in TRECVID 2012. TRECVID (2012)
Zhirong Yang, Tele Hao, Onur Dikmen, Xi Chen, Erkki Oja
Clustering by Nonnegative Matrix Factorization Using Graph Random Walk. NIPS (2012)
Zhirong Yang, Erkki Oja
Quadratic nonnegative matrix factorization. Pattern Recognit. 45 (4) (2012)
He Zhang, Zhirong Yang, Erkki Oja
Adaptive Multiplicative Updates for Projective Nonnegative Matrix Factorization. ICONIP (3) (2012)
Nima Reyhani, Jarkko Ylipaavalniemi, Ricardo Vigário, Erkki Oja
Consistency and asymptotic normality of FastICA and bootstrap FastICA. Signal Process. 92 (8) (2012)
Zhirong Yang, He Zhang, Erkki Oja
Online Projective Nonnegative Matrix Factorization for Large Datasets. ICONIP (3) (2012)
Zhiyun Lu, Zhirong Yang, Erkki Oja
Selecting β-Divergence for Nonnegative Matrix Factorization by Score Matching. ICANN (2) (2012)
He Zhang, Tele Hao, Zhirong Yang, Erkki Oja
Pairwise Clustering with t-PLSI. ICANN (2) (2012)
Mark van Heeswijk, Yoan Miche, Erkki Oja, Amaury Lendasse
GPU-accelerated and parallelized ELM ensembles for large-scale regression. Neurocomputing 74 (16) (2011)
Mats Sjöberg, Satoru Ishikawa, Markus Koskela, Jorma Laaksonen, Erkki Oja
PicSOM Experiments in TRECVID 2011. TRECVID (2011)
He Zhang, Mats Sjöberg, Jorma Laaksonen, Erkki Oja
A Multimodal Information Collector for Content-Based Image Retrieval System. ICONIP (3) (2011)
Zhirong Yang, Erkki Oja
Unified Development of Multiplicative Algorithms for Linear and Quadratic Nonnegative Matrix Factorization. IEEE Trans. Neural Networks 22 (12) (2011)
Mari-Sanna Paukkeri, Ilkka Kivimäki, Santosh Tirunagari, Erkki Oja, Timo Honkela
Effect of Dimensionality Reduction on Different Distance Measures in Document Clustering. ICONIP (3) (2011)
Zhirong Yang, He Zhang, Zhijian Yuan, Erkki Oja
Kullback-Leibler Divergence for Nonnegative Matrix Factorization. ICANN (1) (2011)
Nima Reyhani, Erkki Oja
Non-Gaussian component analysis using Density Gradient Covariance matrix. IJCNN (2011)
Zhirong Yang, Erkki Oja
Linear and nonlinear projective nonnegative matrix factorization. IEEE Trans. Neural Networks 21 (5) (2010)
Zhirong Yang, Zhanxing Zhu, Erkki Oja
Automatic Rank Determination in Projective Nonnegative Matrix Factorization. LVA/ICA (2010)
Dusan Sovilj, Tapani Raiko, Erkki Oja
Extending Self-Organizing Maps with uncertainty information of probabilistic PCA. IJCNN (2010)
Mark van Heeswijk, Yoan Miche, Erkki Oja, Amaury Lendasse
Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs. ESANN (2010)
Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutila, Peter A. J. Hilbers, Timo Honkela, Erkki Oja, Amaury Lendasse
Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction. ICANN (2) (2009)
Zhirong Yang, Irwin King, Zenglin Xu, Erkki Oja
Heavy-Tailed Symmetric Stochastic Neighbor Embedding. NIPS (2009)
Zhirong Yang, Erkki Oja
Projective Nonnegative Matrix Factorization with α-Divergence. ICANN (1) (2009)
Erkki Oja
Oja learning rule. Scholarpedia 3 (3) (2008)
Petr Tichavský, Zbynek Koldovský, Erkki Oja
Corrections to "Performance Analysis of the FastICA Algorithm and CramÉr-Rao Bounds for Linear Independent Component Analysis". IEEE Trans. Signal Process. 56 (4) (2008)
Zhijian Yuan, Erkki Oja
A family of modified projective Nonnegative Matrix Factorization algorithms. ISSPA (2007)
Amaury Lendasse, Erkki Oja, Olli Simula, Michel Verleysen
Time series prediction competition: The CATS benchmark. Neurocomputing 70 (13-15) (2007)
Petr Tichavský, Zbynek Koldovský, Erkki Oja
Speed and Accuracy Enhancement of Linear ICA Techniques Using Rational Nonlinear Functions. ICA (2007)
Alexander Ilin, Harri Valpola, Erkki Oja
Extraction of Components with Structured Variance. IJCNN (2006)
Scott C. Douglas, Zhijian Yuan, Erkki Oja
Average Convergence Behavior of the FastICA Algorithm for Blind Source Separation. ICA (2006)
Erkki Oja, Zhijian Yuan
The FastICA Algorithm Revisited: Convergence Analysis. IEEE Trans. Neural Networks 17 (6) (2006)
Karthikesh Raju, Tapani Ristaniemi, Juha Karhunen, Erkki Oja
Jammer suppression in DS-CDMA arrays using independent component analysis. IEEE Trans. Wirel. Commun. 5 (1) (2006)
Zbynek Koldovský, Petr Tichavský, Erkki Oja
Efficient Variant of Algorithm FastICA for Independent Component Analysis Attaining the CramÉr-Rao Lower Bound. IEEE Trans. Neural Networks 17 (5) (2006)
Alexander Ilin, Harri Valpola, Erkki Oja
Exploratory analysis of climate data using source separation methods. Neural Networks 19 (2) (2006)
Jussi Pakkanen, Jukka Iivarinen, Erkki Oja
The evolving tree-analysis and applications. IEEE Trans. Neural Networks 17 (3) (2006)
Sergey Borisov, Alexander Ilin, Ricardo Vigário, Erkki Oja
-Activity Components in EEG. ICA (2006)
Petr Tichavský, Zbynek Koldovský, Erkki Oja
Performance analysis of the FastICA algorithm and Cramér-rao bounds for linear independent component analysis. IEEE Trans. Signal Process. 54 (4) (2006)
Zbynek Koldovský, Petr Tichavský, Erkki Oja
Cramer-Rao lower bound for linear independent component analysis. ICASSP (3) (2005)
Zhijian Yuan, Erkki Oja
Projective Nonnegative Matrix Factorization for Image Compression and Feature Extraction. SCIA (2005)
José Carlos Príncipe, Erkki Oja, Lei Xu, Andrzej Cichocki, Deniz Erdogmus
Guest Editorial Special Issue on Information Theoretic Learning. IEEE Trans. Neural Networks 15 (4) (2004)
Erkki Oja, Mark D. Plumbley
Blind Separation of Positive Sources by Globally Convergent Gradient Search. Neural Comput. 16 (9) (2004)
Zhijian Yuan, Erkki Oja
A FastICA Algorithm for Non-negative Independent Component Analysis. ICA (2004)
Mark D. Plumbley, Erkki Oja
A "nonnegative PCA" algorithm for independent component analysis. IEEE Trans. Neural Networks 15 (1) (2004)
Erkki Oja
Applications of Independent Component Analysis. ICONIP (2004)
Jussi Pakkanen, Jukka Iivarinen, Erkki Oja
The Evolving Tree - A Novel Self-Organizing Network for Data Analysis. Neural Process. Lett. 20 (3) (2004)
Jorma Laaksonen, Markus Koskela, Erkki Oja
Class distributions on SOM surfaces for feature extraction and object retrieval. Neural Networks 17 (8-9) (2004)
Alexander Ilin, Harri Valpola, Erkki Oja
Nonlinear dynamical factor analysis for state change detection. IEEE Trans. Neural Networks 15 (3) (2004)
Markus Koskela, Jorma Laaksonen, Erkki Oja
Entropy-Based Measures for Clustering and SOM Topology Preservation Applied to Content-Based Image Indexing and Retrieval. ICPR (2) (2004)
Markus Koskela, Jorma Laaksonen, Erkki Oja
Use of Image Subset Features in Image Retrieval with Self-Organizing Maps. CIVR (2004)
Timo Ojala, Markus Koskela, Esa Matinmikko, Mika Rautiainen, Jorma Laaksonen, Erkki Oja
Task-Based User Evaluation of Content-Based Image Database Browsing Systems. CIVR (2004)
Erkki Oja, Stefan Harmeling, Luís B. Almeida
Independent component analysis and beyond. Signal Process. 84 (2) (2004)
Erkki Oja
Finding Clusters and Components by Unsupervised Learning. SSPR/SPR (2004)
Matti Aksela, Ramunas Girdziusas, Jorma Laaksonen, Erkki Oja, Jari Kangas
Methods for adaptive combination of classifiers with application to recognition of handwritten characters. Int. J. Document Anal. Recognit. 6 (1) (2003)
Te-Won Lee, Jean-François Cardoso, Erkki Oja, Shun-ichi Amari
Introduction to Special Issue on Independent Components Analysis. J. Mach. Learn. Res. 4 (2003)
Maria Funaro, Erkki Oja, Harri Valpola
Independent component analysis for artefact separation in astrophysical images. Neural Networks 16 (3-4) (2003)
Harri Valpola, Erkki Oja, Alexander Ilin, Antti Honkela, Juha Karhunen
Nonlinear Blind Source Separation by Variational Bayesian Learning. IEICE Trans. Fundam. Electron. Commun. Comput. Sci. (3) (2003)
Tapani Ristaniemi, Karthikesh Raju, Juha Karhunen, Erkki Oja
Jammer cancellation in DS-CDMA arrays: pre and post switching of ICA and RAKE. NNSP (2002)
Markus Koskela, Jorma Laaksonen, Erkki Oja
Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps. ICANN (2002)
Matti Aksela, Ramunas Girdziusas, Jorma Laaksonen, Erkki Oja, Jari Kangas
Class-confidence critic combining. IWFHR (2002)
Markus Koskela, Jorma Laaksonen, Erkki Oja
Using MPEG-7 Descriptors in Image Retrieval with Self-Organizing Maps. ICPR (2) (2002)
Markus Koskela, Jorma Laaksonen, Erkki Oja
MPEG-7 Descriptors in Content-Based Image Retrieval with PicSOM System. VISUAL (2002)
Erkki Oja
Independent Component Analisys. HIS (2002)
Erkki Oja
Finding Hidden Factors UsingIndependent Component Analysis. PKDD (2002)
Sami S. Brandt, Jorma Laaksonen, Erkki Oja
Statistical Shape Features for Content-Based Image Retrieval. J. Math. Imaging Vis. 17 (2) (2002)
Jorma Laaksonen, Markus Koskela, Erkki Oja
PicSOM-self-organizing image retrieval with MPEG-7 content descriptors. IEEE Trans. Neural Networks 13 (4) (2002)
Erkki Oja
Unsupervised learning in neural computation. Theor. Comput. Sci. 287 (1) (2002)
Erkki Oja
Finding Hidden Factors Using Independent Component Analysis. ECML (2002)
Sami Laakso, Jorma Laaksonen, Markus Koskela, Erkki Oja
Self-Organizing Maps of Web Link Information. WSOM (2001)
Jorma Laaksonen, Markus Koskela, Sami Laakso, Erkki Oja
Self-Organising Maps as a Relevance Feedback Technique in Content-Based Image Retrieval. Pattern Anal. Appl. 4 (2-3) (2001)
Timo Ojala, Kimmo Valkealahti, Erkki Oja, Matti Pietikäinen
Texture discrimination with multidimensional distributions of signed gray-level differences. Pattern Recognit. 34 (3) (2001)
Matti Aksela, Jorma Laaksonen, Erkki Oja, Jari Kangas
Rejection Methods for an Adaptive Committee Classifier. ICDAR (2001)
Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas
Speeding Up On-line Recognition of Handwritten Characters by Pruning the Prototype Set. ICDAR (2001)
Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas
Experiments with adaptation strategies for a prototype-based recognition system for isolated handwritten characters. Int. J. Document Anal. Recognit. 3 (3) (2001)
Matti Aksela, Jorma Laaksonen, Erkki Oja, Jari Kangas
Application of Adaptive Committee Classifiers in On-Line Character Recognition. ICAPR (2001)
Visa Koivunen, Mihai Enescu, Erkki Oja
Adaptive Algorithm for Blind Separation from Noisy Time-Varying Mixtures. Neural Comput. 13 (10) (2001)
Aapo Hyvärinen, Erkki Oja
Independent component analysis: algorithms and applications. Neural Networks 13 (4-5) (2000)
Sami S. Brandt, Jorma Laaksonen, Erkki Oja
Statistical Shape Features in Content-Based Image Retrieval. ICPR (2000)
Ricardo Vigário, Erkki Oja
Independence: a new criterion for the analysis of the electromagnetic fields in the global brain? Neural Networks 13 (8-9) (2000)
Ricardo Vigário, Jaakko Särelä, V. Jousmiki, Matti Hämäläinen, Erkki Oja
Independent component approach to the analysis of EEG and MEG recordings. IEEE Trans. Biomed. Eng. 47 (5) (2000)
Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas
Controlling On-Line Adaptation of a Prototype-Based Classifier for Handwritten Characters. ICPR (2000)
Markus Koskela, Jorma Laaksonen, Sami Laakso, Erkki Oja
Evaluating the Performance of Content-Based Image Retrieval Systems. VISUAL (2000)
Jorma Laaksonen, Markus Koskela, Sami Laakso, Erkki Oja
PicSOM - content-based image retrieval with self-organizing maps. Pattern Recognit. Lett. 21 (13-14) (2000)
Aapo Hyvärinen, Razvan Cristescu, Erkki Oja
A fast algorithm for estimating overcomplete ICA bases for image windows. IJCNN (1999)
Jorma Laaksonen, Markus Koskela, Erkki Oja
Content-Based Image Retrieval Using Self-Organizing Maps. VISUAL (1999)
Ricardo Vigário, Erkki Oja
Independent Component Analysis of Human Brain Waves. IWANN (2) (1999)

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Publication Activity (10 Years)

Top Topics

Top Venues

Erkki Oja