Erkki Oja

Erkki Oja: IEEE Fellows' Class of 2013 [Society Briefs]. IEEE Comp. Int. Mag. 8(2): 6-9 (2013)

Zhirong Yang, Erkki Oja: Quadratic nonnegative matrix factorization. Pattern Recognition 45(4): 1500-1510 (2012)

Nima Reyhani, Jarkko Ylipaavalniemi, Ricardo Vigário, Erkki Oja: Consistency and asymptotic normality of FastICA and bootstrap FastICA. Signal Processing 92(8): 1767-1778 (2012)

He Zhang, Tele Hao, Zhirong Yang, Erkki Oja: Pairwise Clustering with t-PLSI. ICANN (2) 2012: 411-418

Zhiyun Lu, Zhirong Yang, Erkki Oja: Selecting β-Divergence for Nonnegative Matrix Factorization by Score Matching. ICANN (2) 2012: 419-426

Zhirong Yang, Erkki Oja: Clustering by Low-Rank Doubly Stochastic Matrix Decomposition. ICML 2012

He Zhang, Zhirong Yang, Erkki Oja: Adaptive Multiplicative Updates for Projective Nonnegative Matrix Factorization. ICONIP (3) 2012: 277-284

Zhirong Yang, He Zhang, Erkki Oja: Online Projective Nonnegative Matrix Factorization for Large Datasets. ICONIP (3) 2012: 285-290

Zhirong Yang, Tele Hao, Onur Dikmen, Xi Chen, Erkki Oja: Clustering by Nonnegative Matrix Factorization Using Graph Random Walk. NIPS 2012: 1088-1096

Zhirong Yang, Erkki Oja: Clustering by Low-Rank Doubly Stochastic Matrix Decomposition. CoRR abs/1206.4676 (2012)

Mark van Heeswijk, Yoan Miche, Erkki Oja, Amaury Lendasse: GPU-accelerated and parallelized ELM ensembles for large-scale regression. Neurocomputing 74(16): 2430-2437 (2011)

Zhirong Yang, Erkki Oja: Unified Development of Multiplicative Algorithms for Linear and Quadratic Nonnegative Matrix Factorization. IEEE Transactions on Neural Networks 22(12): 1878-1891 (2011)

Zhirong Yang, He Zhang, Zhijian Yuan, Erkki Oja: Kullback-Leibler Divergence for Nonnegative Matrix Factorization. ICANN (1) 2011: 250-257

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: 167-176

He Zhang, Mats Sjöberg, Jorma Laaksonen, Erkki Oja: A Multimodal Information Collector for Content-Based Image Retrieval System. ICONIP (3) 2011: 737-746

Nima Reyhani, Erkki Oja: Non-Gaussian component analysis using Density Gradient Covariance matrix. IJCNN 2011: 966-972

Zhirong Yang, Erkki Oja: Linear and nonlinear projective nonnegative matrix factorization. IEEE Transactions on Neural Networks 21(5): 734-749 (2010)

Mark van Heeswijk, Yoan Miche, Erkki Oja, Amaury Lendasse: Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs. ESANN 2010

Zhirong Yang, Zhanxing Zhu, Erkki Oja: Automatic Rank Determination in Projective Nonnegative Matrix Factorization. LVA/ICA 2010: 514-521

Dusan Sovilj, Tapani Raiko, Erkki Oja: Extending Self-Organizing Maps with uncertainty information of probabilistic PCA. IJCNN 2010: 1-7

Zhirong Yang, Erkki Oja: Projective Nonnegative Matrix Factorization with α-Divergence. ICANN (1) 2009: 20-29

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: 305-314

Zhirong Yang, Irwin King, Zenglin Xu, Erkki Oja: Heavy-Tailed Symmetric Stochastic Neighbor Embedding. NIPS 2009: 2169-2177

Lei Xu, Erkki Oja: Randomized Hough Transform. Encyclopedia of Artificial Intelligence 2009: 1343-1350

Emilio Corchado, Xindong Wu, Erkki Oja, Álvaro Herrero, Bruno Baruque (Eds.): Hybrid Artificial Intelligence Systems, 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009. Proceedings. Lecture Notes in Computer Science 5572, Springer 2009, isbn 978-3-642-02318-7

Erkki Oja: Oja learning rule. Scholarpedia 3(3): 3612 (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 Transactions on Signal Processing 56(4): 1715-1716 (2008)

Amaury Lendasse, Erkki Oja, Olli Simula, Michel Verleysen: Time series prediction competition: The CATS benchmark. Neurocomputing 70(13-15): 2325-2329 (2007)

Petr Tichavský, Zbynek Koldovský, Erkki Oja: Speed and Accuracy Enhancement of Linear ICA Techniques Using Rational Nonlinear Functions. ICA 2007: 285-292

Zhijian Yuan, Erkki Oja: A family of modified projective Nonnegative Matrix Factorization algorithms. ISSPA 2007: 1-4

Alexander Ilin, Harri Valpola, Erkki Oja: Exploratory analysis of climate data using source separation methods. Neural Networks 19(2): 155-167 (2006)

Jussi Pakkanen, Jukka Iivarinen, Erkki Oja: The evolving tree-analysis and applications. IEEE Transactions on Neural Networks 17(3): 591-603 (2006)

Zbynek Koldovský, Petr Tichavský, Erkki Oja: Efficient Variant of Algorithm FastICA for Independent Component Analysis Attaining the CramÉr-Rao Lower Bound. IEEE Transactions on Neural Networks 17(5): 1265-1277 (2006)

Erkki Oja, Zhijian Yuan: The FastICA Algorithm Revisited: Convergence Analysis. IEEE Transactions on Neural Networks 17(6): 1370-1381 (2006)

Petr Tichavský, Zbynek Koldovský, Erkki Oja: Performance analysis of the FastICA algorithm and Crame/spl acute/r-rao bounds for linear independent component analysis. IEEE Transactions on Signal Processing 54(4): 1189-1203 (2006)

Karthikesh Raju, Tapani Ristaniemi, Juha Karhunen, Erkki Oja: Jammer suppression in DS-CDMA arrays using independent component analysis. IEEE Transactions on Wireless Communications 5(1): 77-82 (2006)

Sergey Borisov, Alexander Ilin, Ricardo Vigário, Erkki Oja: Comparison of BSS Methods for the Detection of alpha-Activity Components in EEG. ICA 2006: 430-437

Scott C. Douglas, Zhijian Yuan, Erkki Oja: Average Convergence Behavior of the FastICA Algorithm for Blind Source Separation. ICA 2006: 790-798

Alexander Ilin, Harri Valpola, Erkki Oja: Extraction of Components with Structured Variance. IJCNN 2006: 5110-5117

Stefanos D. Kollias, Andreas Stafylopatis, Wlodzislaw Duch, Erkki Oja (Eds.): Artificial Neural Networks - ICANN 2006, 16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part I. Lecture Notes in Computer Science 4131, Springer 2006, isbn 3-540-38625-4

Stefanos D. Kollias, Andreas Stafylopatis, Wlodzislaw Duch, Erkki Oja (Eds.): Artificial Neural Networks - ICANN 2006, 16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part II. Lecture Notes in Computer Science 4132, Springer 2006, isbn 3-540-38871-0

Zhijian Yuan, Erkki Oja: Projective Nonnegative Matrix Factorization for Image Compression and Feature Extraction. SCIA 2005: 333-342

Wlodzislaw Duch, Janusz Kacprzyk, Erkki Oja, Slawomir Zadrozny (Eds.): Artificial Neural Networks: Biological Inspirations - ICANN 2005, 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part I. Lecture Notes in Computer Science 3696, Springer 2005, isbn 3-540-28752-3

Wlodzislaw Duch, Janusz Kacprzyk, Erkki Oja, Slawomir Zadrozny (Eds.): Artificial Neural Networks: Formal Models and Their Applications - ICANN 2005, 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part II. Lecture Notes in Computer Science 3697, Springer 2005, isbn 3-540-28755-8

Erkki Oja, Mark D. Plumbley: Blind Separation of Positive Sources by Globally Convergent Gradient Search. Neural Computation 16(9): 1811-1825 (2004)

Jorma Laaksonen, Markus Koskela, Erkki Oja: Class distributions on SOM surfaces for feature extraction and object retrieval. Neural Networks 17(8-9): 1121-1133 (2004)

Jussi Pakkanen, Jukka Iivarinen, Erkki Oja: The Evolving Tree - A Novel Self-Organizing Network for Data Analysis. Neural Processing Letters 20(3): 199-211 (2004)

Erkki Oja, Stefan Harmeling, Luis B. Almeida: Independent component analysis and beyond. Signal Processing 84(2): 215-216 (2004)

Mark D. Plumbley, Erkki Oja: A "nonnegative PCA" algorithm for independent component analysis. IEEE Transactions on Neural Networks 15(1): 66-76 (2004)

Alexander Ilin, Harri Valpola, Erkki Oja: Nonlinear dynamical factor analysis for state change detection. IEEE Transactions on Neural Networks 15(3): 559-575 (2004)

José Carlos Príncipe, Erkki Oja, Lei Xu, Andrzej Cichocki, Deniz Erdogmus: Guest Editorial Special Issue on Information Theoretic Learning. IEEE Transactions on Neural Networks 15(4): 789-791 (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: 234-242

Markus Koskela, Jorma Laaksonen, Erkki Oja: Use of Image Subset Features in Image Retrieval with Self-Organizing Maps. CIVR 2004: 508-516

Zhijian Yuan, Erkki Oja: A FastICA Algorithm for Non-negative Independent Component Analysis. ICA 2004: 1-8

Erkki Oja: Applications of Independent Component Analysis. ICONIP 2004: 1044-1051

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: 1005-1009

Erkki Oja: Finding Clusters and Components by Unsupervised Learning. SSPR/SPR 2004: 1-15

Matti Aksela, Ramunas Girdziusas, Jorma Laaksonen, Erkki Oja, Jari Kangas: Methods for adaptive combination of classifiers with application to recognition of handwritten characters. IJDAR 6(1): 23-41 (2003)

Te-Won Lee, Jean-François Cardoso, Erkki Oja, Shun-ichi Amari: Introduction to Special Issue on Independent Components Analysis. Journal of Machine Learning Research 4: 1175-1176 (2003)

Maria Funaro, Erkki Oja, Harri Valpola: Independent component analysis for artefact separation in astrophysical images. Neural Networks 16(3-4): 469-478 (2003)

Okyay Kaynak, Ethem Alpaydin, Erkki Oja, Lei Xu (Eds.): Artificial Neural Networks and Neural Information Processing - ICANN/ICONIP 2003, Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26-29, 2003, Proceedings. Lecture Notes in Computer Science 2714, Springer 2003, isbn 3-540-40408-2

Sami S. Brandt, Jorma Laaksonen, Erkki Oja: Statistical Shape Features for Content-Based Image Retrieval. Journal of Mathematical Imaging and Vision 17(2): 187-198 (2002)

Erkki Oja: Unsupervised learning in neural computation. Theor. Comput. Sci. 287(1): 187-207 (2002)

Jorma Laaksonen, Markus Koskela, Erkki Oja: PicSOM-self-organizing image retrieval with MPEG-7 content descriptors. IEEE Transactions on Neural Networks 13(4): 841-853 (2002)

Erkki Oja: Finding Hidden Factors Using Independent Component Analysis. ECML 2002: 505

Erkki Oja: Independent Component Analisys. HIS 2002: 3

Markus Koskela, Jorma Laaksonen, Erkki Oja: Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps. ICANN 2002: 981-986

Matti Aksela, Ramunas Girdziusas, Jorma Laaksonen, Erkki Oja, Jari Kangas: Class-confidence critic combining. IWFHR 2002: 201-206

Markus Koskela, Jorma Laaksonen, Erkki Oja: Using MPEG-7 Descriptors in Image Retrieval with Self-Organizing Maps. ICPR (2) 2002: 1049-1052

Erkki Oja: Finding Hidden Factors UsingIndependent Component Analysis. PKDD 2002: 488

Markus Koskela, Jorma Laaksonen, Erkki Oja: MPEG-7 Descriptors in Content-Based Image Retrieval with PicSOM System. VISUAL 2002: 247-258

Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas: Experiments with adaptation strategies for a prototype-based recognition system for isolated handwritten characters. IJDAR 3(3): 150-159 (2001)

Visa Koivunen, Mihai Enescu, Erkki Oja: Adaptive Algorithm for Blind Separation from Noisy Time-Varying Mixtures. Neural Computation 13(10): 2339-2357 (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): 140-152 (2001)

Timo Ojala, Kimmo Valkealahti, Erkki Oja, Matti Pietikäinen: Texture discrimination with multidimensional distributions of signed gray-level differences. Pattern Recognition 34(3): 727-739 (2001)

Matti Aksela, Jorma Laaksonen, Erkki Oja, Jari Kangas: Application of Adaptive Committee Classifiers in On-Line Character Recognition. ICAPR 2001: 270-279

Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas: Speeding Up On-line Recognition of Handwritten Characters by Pruning the Prototype Set. ICDAR 2001: 501-

Matti Aksela, Jorma Laaksonen, Erkki Oja, Jari Kangas: Rejection Methods for an Adaptive Committee Classifier. ICDAR 2001: 982-986

Aapo Hyvärinen, Erkki Oja: Independent component analysis: algorithms and applications. Neural Networks 13(4-5): 411-430 (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): 891-907 (2000)

Jorma Laaksonen, Markus Koskela, Sami Laakso, Erkki Oja: PicSOM - content-based image retrieval with self-organizing maps. Pattern Recognition Letters 21(13-14): 1199-1207 (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. Engineering 47(5): 589-593 (2000)

Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas: Controlling On-Line Adaptation of a Prototype-Based Classifier for Handwritten Characters. ICPR 2000: 2331-2334

Sami S. Brandt, Jorma Laaksonen, Erkki Oja: Statistical Shape Features in Content-Based Image Retrieval. ICPR 2000: 6062-6066

Markus Koskela, Jorma Laaksonen, Sami Laakso, Erkki Oja: Evaluating the Performance of Content-Based Image Retrieval Systems. VISUAL 2000: 430-441

Xavier Giannakopoulos, Juha Karhunen, Erkki Oja: An Experimental Comparison of Neural Algorithms for Independent Component Analysis and Blind Separation. Int. J. Neural Syst. 9(2): 99-114 (1999)

Erkki Oja, Aapo Hyvärinen, Patrik O. Hoyer: Image Feature Extraction and Denoising by Sparse Coding. Pattern Anal. Appl. 2(2): 104-110 (1999)

Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas: On-line Adaptation in Recognition of Handwritten Alphanumeric Characters. ICDAR 1999: 792-795

Jorma Laaksonen, Matti Aksela, Erkki Oja, Jari Kangas: Dynamically Expanding Context as Committee Adaptation Method in On-Line Recognition of Handwritten Latin Characters. ICDAR 1999: 796-799

Ricardo Vigário, Erkki Oja: Independent Component Analysis of Human Brain Waves. IWANN (2) 1999: 238-247

Jorma Laaksonen, Markus Koskela, Erkki Oja: Content-Based Image Retrieval Using Self-Organizing Maps. VISUAL 1999: 541-548

Juha Karhunen, Petteri Pajunen, Erkki Oja: The nonlinear PCA criterion in blind source separation: Relations with other approaches. Neurocomputing 22(1-3): 5-20 (1998)

Erkki Oja: From neural learning to independent components. Neurocomputing 22(1-3): 187-199 (1998)

Jorma Laaksonen, Erkki Oja: Learning Subspace Classifiers and Error-Corrective Feature Extraction. IJPRAI 12(4): 423-436 (1998)

Kimmo Valkealahti, Erkki Oja: Texture Classification with Single- and Multiresolution Co-Occurrence Maps. IJPRAI 12(4): 437-452 (1998)

Kimmo Valkealahti, Erkki Oja: Reduced Multidimensional Co-Occurrence Histograms in Texture Classification. IEEE Trans. Pattern Anal. Mach. Intell. 20(1): 90-94 (1998)

Aapo Hyvärinen, Erkki Oja: Independent component analysis by general nonlinear Hebbian-like learning rules. Signal Processing 64(3): 301-313 (1998)

Erkki Oja: Signal Decomposition by Fast ICA. ICONIP 1998: 594-602

Erkki Oja: The Nonlinear PCA Approach to ICA. ICONIP 1998: 725-728

Kimmo Kiviluoto, Erkki Oja: Independent Component Analysis for Parallel Financial Time Series. ICONIP 1998: 895-898

Aapo Hyvärinen, Patrik O. Hoyer, Erkki Oja: Sparse Code Shrinkage: Denoising by Nonlinear Maximum Likelihood Estimation. NIPS 1998: 473-479

Erkki Oja: The nonlinear PCA learning rule in independent component analysis. Neurocomputing 17(1): 25-45 (1997)

Aapo Hyvärinen, Erkki Oja: A Fast Fixed-Point Algorithm for Independent Component Analysis. Neural Computation 9(7): 1483-1492 (1997)

Lasse Holmström, Petri Koistinen, Jorma Laaksonen, Erkki Oja: Neural and statistical classifiers-taxonomy and two case studies. IEEE Trans. Neural Netw. Learning Syst. 8(1): 5-17 (1997)

Juha Karhunen, Erkki Oja, Liuyue Wang, Ricardo Vigário, Jyrki Joutsensalo: A class of neural networks for independent component analysis. IEEE Trans. Neural Netw. Learning Syst. 8(3): 486-504 (1997)

Erkki Oja, Juha Karhunen, Aapo Hyvärinen: From Neural Principal Components to Neural Independent Components. ICANN 1997: 519-528

Erkki Oja, Kimmo Valkealahti: Local Independent Component Analysis by the Self-Organizing Map. ICANN 1997: 553-558

Kimmo Kiviluoto, Erkki Oja: S-Map: A Network with a Simple Self-Organization Algorithm for Generative Topographic Mappings. NIPS 1997

Ricardo Vigário, Veikko Jousmäki, Matti Hämäläinen, Riitta Hari, Erkki Oja: Independent Component Analysis for Identification of Artifacts in Magnetoencephalographic Recordings. NIPS 1997

Aapo Hyvärinen, Erkki Oja: Simple Neuron Models for Independent Component Analysis. Int. J. Neural Syst. 7(6): 671-688 (1996)

Erkki Oja, Liuyue Wang: Neural fitting: Robustness by anti-Hebbian learning. Neurocomputing 12(2-3): 155-170 (1996)

Erkki Oja, Liuyue Wang: Robust fitting by nonlinear neural units. Neural Networks 9(3): 435-444 (1996)

Erkki Oja, Kimmo Valkealahti: Co-occurrence map: Quantizing multidimensional texture histograms. Pattern Recognition Letters 17(7): 723-730 (1996)

Heikki Kälviäinen, Petri Hirvonen, Erkki Oja: Houghtool -- A software package for the use of the Hough transform. Pattern Recognition Letters 17(8): 889-897 (1996)

Jorma Laaksonen, Erkki Oja: Subspace Dimension Selection and Averaged Learning Subspace Method in Handwritten Digit Classification. ICANN 1996: 227-232

Kimmo Valkealahti, Erkki Oja: Optimal Texture Feature Selection for the Co-Occurrence Map. ICANN 1996: 245-250

Aapo Hyvärinen, Erkki Oja: One-unit Learning Rules for Independent Component Analysis. NIPS 1996: 480-486

Heikki Kälviäinen, Petri Hirvonen, Lei Xu, Erkki Oja: Probabilistic and non-probabilistic Hough transforms: overview and comparisons. Image Vision Comput. 13(4): 239-252 (1995)

Jouko Lampinen, Erkki Oja: Distortion tolerant pattern recognition based on self-organizing feature extraction. IEEE Trans. Neural Netw. Learning Syst. 6(3): 539-547 (1995)

Heikki Kälviäinen, Petri Hirvonen, Lei Xu, Erkki Oja: Comparisons of Probabilistic and Non-probabilistic Hough Transforms. ECCV (2) 1994: 351-360

Jouko Lampinen, Erkki Oja: Clustering properties of hierarchical self-organizing maps. Journal of Mathematical Imaging and Vision 2(2-3): 261-272 (1992)

Lei Xu, Erkki Oja, Ching Y. Suen: Modified Hebbian learning for curve and surface fitting. Neural Networks 5(3): 441-457 (1992)

Erkki Oja: Principal components, minor components, and linear neural networks. Neural Networks 5(6): 927-935 (1992)

Lei Xu, Adam Krzyzak, Erkki Oja: Neural Nets for Dual Subspace Pattern Recognition Method. Int. J. Neural Syst. 2(3): 169-184 (1991)

Jussi Parkkinen, K. Selkäinaho, Erkki Oja: Detecting texture periodicity from the cooccurrence matrix. Pattern Recognition Letters 11(1): 43-50 (1990)

Lei Xu, Erkki Oja, Pekka Kultanen: A new curve detection method: Randomized Hough transform (RHT). Pattern Recognition Letters 11(5): 331-338 (1990)

Lei Xu, Erkki Oja: Improved Simulated Annealing, Boltzmann Machine, and Attributed Graph Matching. EURASIP Workshop 1990: 151-160

Pekka Kultanen, Erkki Oja, Lei Xu: Randomized Hough Transform (RHT) in Engineering Drawing Vectorization System. MVA 1990: 173-176

Erkki Oja: Neural Networks, Principal Components, and Subspaces. Int. J. Neural Syst. 1(1): 61-68 (1989)

Erkki Oja, Maija Kuusela: The ALSM algorithm - an improved subspace method of classification. Pattern Recognition 16(4): 421-427 (1983)

Erkki Oja: On the Construction of Projectors Using Products of Elementary Matrices. IEEE Trans. Computers 28(1): 65-66 (1979)