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Erkki Oja: [Publications] [Author Rank by year] [Co-authors] [Prefers] [Cites] [Cited by]

Publications of Author

  1. Markus Koskela, Jorma Laaksonen, Erkki Oja
    Use of Image Subset Features in Image Retrieval with Self-Organizing Maps. [Citation Graph (0, 0)][DBLP]
    CIVR, 2004, pp:508-516 [Conf]
  2. Timo Ojala, Markus Koskela, Esa Matinmikko, Mika Rautiainen, Jorma Laaksonen, Erkki Oja
    Task-Based User Evaluation of Content-Based Image Database Browsing Systems. [Citation Graph (0, 0)][DBLP]
    CIVR, 2004, pp:234-242 [Conf]
  3. Heikki Kälviäinen, Petri Hirvonen, Lei Xu, Erkki Oja
    Comparisons of Probabilistic and Non-probabilistic Hough Transforms. [Citation Graph (0, 0)][DBLP]
    ECCV (2), 1994, pp:351-360 [Conf]
  4. Erkki Oja
    Finding Hidden Factors Using Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    ECML, 2002, pp:505- [Conf]
  5. Lei Xu, Erkki Oja
    Improved Simulated Annealing, Boltzmann Machine, and Attributed Graph Matching. [Citation Graph (0, 0)][DBLP]
    EURASIP Workshop, 1990, pp:151-160 [Conf]
  6. Erkki Oja
    Independent Component Analisys. [Citation Graph (0, 0)][DBLP]
    HIS, 2002, pp:3- [Conf]
  7. Scott C. Douglas, Zhijian Yuan, Erkki Oja
    Average Convergence Behavior of the FastICA Algorithm for Blind Source Separation. [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:790-798 [Conf]
  8. Sergey Borisov, Alexander Ilin, Ricardo Vigário, Erkki Oja
    Comparison of BSS Methods for the Detection of alpha-Activity Components in EEG. [Citation Graph (0, 0)][DBLP]
    ICA, 2006, pp:430-437 [Conf]
  9. Zhijian Yuan, Erkki Oja
    A FastICA Algorithm for Non-negative Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    ICA, 2004, pp:1-8 [Conf]
  10. Markus Koskela, Jorma Laaksonen, Erkki Oja
    Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps. [Citation Graph (0, 0)][DBLP]
    ICANN, 2002, pp:981-986 [Conf]
  11. Jorma Laaksonen, Erkki Oja
    Subspace Dimension Selection and Averaged Learning Subspace Method in Handwritten Digit Classification. [Citation Graph (0, 0)][DBLP]
    ICANN, 1996, pp:227-232 [Conf]
  12. Erkki Oja, Juha Karhunen, Aapo Hyvärinen
    From Neural Principal Components to Neural Independent Components. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:519-528 [Conf]
  13. Erkki Oja, Kimmo Valkealahti
    Local Independent Component Analysis by the Self-Organizing Map. [Citation Graph (0, 0)][DBLP]
    ICANN, 1997, pp:553-558 [Conf]
  14. Kimmo Valkealahti, Erkki Oja
    Optimal Texture Feature Selection for the Co-Occurrence Map. [Citation Graph (0, 0)][DBLP]
    ICANN, 1996, pp:245-250 [Conf]
  15. Matti Aksela, Jorma Laaksonen, Erkki Oja, Jari Kangas
    Application of Adaptive Committee Classifiers in On-Line Character Recognition. [Citation Graph (0, 0)][DBLP]
    ICAPR, 2001, pp:270-279 [Conf]
  16. Matti Aksela, Jorma Laaksonen, Erkki Oja, Jari Kangas
    Rejection Methods for an Adaptive Committee Classifier. [Citation Graph (0, 0)][DBLP]
    ICDAR, 2001, pp:982-986 [Conf]
  17. Jorma Laaksonen, Matti Aksela, Erkki Oja, Jari Kangas
    Dynamically Expanding Context as Committee Adaptation Method in On-Line Recognition of Handwritten Latin Characters. [Citation Graph (0, 0)][DBLP]
    ICDAR, 1999, pp:796-799 [Conf]
  18. Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas
    Speeding Up On-line Recognition of Handwritten Characters by Pruning the Prototype Set. [Citation Graph (0, 0)][DBLP]
    ICDAR, 2001, pp:501-0 [Conf]
  19. Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas
    On-line Adaptation in Recognition of Handwritten Alphanumeric Characters. [Citation Graph (0, 0)][DBLP]
    ICDAR, 1999, pp:792-795 [Conf]
  20. Kimmo Kiviluoto, Erkki Oja
    Independent Component Analysis for Parallel Financial Time Series. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:895-898 [Conf]
  21. Erkki Oja
    Applications of Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    ICONIP, 2004, pp:1044-1051 [Conf]
  22. Erkki Oja
    Signal Decomposition by Fast ICA. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:594-602 [Conf]
  23. Erkki Oja
    The Nonlinear PCA Approach to ICA. [Citation Graph (0, 0)][DBLP]
    ICONIP, 1998, pp:725-728 [Conf]
  24. Sami S. Brandt, Jorma Laaksonen, Erkki Oja
    Statistical Shape Features in Content-Based Image Retrieval. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:6062-6066 [Conf]
  25. Markus Koskela, Jorma Laaksonen, Erkki Oja
    Using MPEG-7 Descriptors in Image Retrieval with Self-Organizing Maps. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2002, pp:1049-1052 [Conf]
  26. Markus Koskela, Jorma Laaksonen, Erkki Oja
    Entropy-Based Measures for Clustering and SOM Topology Preservation Applied to Content-Based Image Indexing and Retrieval. [Citation Graph (0, 0)][DBLP]
    ICPR (2), 2004, pp:1005-1009 [Conf]
  27. Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas
    Controlling On-Line Adaptation of a Prototype-Based Classifier for Handwritten Characters. [Citation Graph (0, 0)][DBLP]
    ICPR, 2000, pp:2331-2334 [Conf]
  28. Ricardo Vigário, Erkki Oja
    Independent Component Analysis of Human Brain Waves. [Citation Graph (0, 0)][DBLP]
    IWANN (2), 1999, pp:238-247 [Conf]
  29. Aapo Hyvärinen, Patrik O. Hoyer, Erkki Oja
    Sparse Code Shrinkage: Denoising by Nonlinear Maximum Likelihood Estimation. [Citation Graph (0, 0)][DBLP]
    NIPS, 1998, pp:473-479 [Conf]
  30. Aapo Hyvärinen, Erkki Oja
    One-unit Learning Rules for Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    NIPS, 1996, pp:480-486 [Conf]
  31. Kimmo Kiviluoto, Erkki Oja
    S-Map: A Network with a Simple Self-Organization Algorithm for Generative Topographic Mappings. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  32. Ricardo Vigário, Veikko Jousmäki, Matti Hämäläinen, Riitta Hari, Erkki Oja
    Independent Component Analysis for Identification of Artifacts in Magnetoencephalographic Recordings. [Citation Graph (0, 0)][DBLP]
    NIPS, 1997, pp:- [Conf]
  33. Erkki Oja
    Finding Hidden Factors UsingIndependent Component Analysis. [Citation Graph (0, 0)][DBLP]
    PKDD, 2002, pp:488- [Conf]
  34. Zhijian Yuan, Erkki Oja
    Projective Nonnegative Matrix Factorization for Image Compression and Feature Extraction. [Citation Graph (0, 0)][DBLP]
    SCIA, 2005, pp:333-342 [Conf]
  35. Erkki Oja
    Finding Clusters and Components by Unsupervised Learning. [Citation Graph (0, 0)][DBLP]
    SSPR/SPR, 2004, pp:1-15 [Conf]
  36. Markus Koskela, Jorma Laaksonen, Sami Laakso, Erkki Oja
    Evaluating the Performance of Content-Based Image Retrieval Systems. [Citation Graph (0, 0)][DBLP]
    VISUAL, 2000, pp:430-441 [Conf]
  37. Markus Koskela, Jorma Laaksonen, Erkki Oja
    MPEG-7 Descriptors in Content-Based Image Retrieval with PicSOM System. [Citation Graph (0, 0)][DBLP]
    VISUAL, 2002, pp:247-258 [Conf]
  38. Jorma Laaksonen, Markus Koskela, Erkki Oja
    Content-Based Image Retrieval Using Self-Organizing Maps. [Citation Graph (0, 0)][DBLP]
    VISUAL, 1999, pp:541-548 [Conf]
  39. Matti Aksela, Ramunas Girdziusas, Jorma Laaksonen, Erkki Oja, Jari Kangas
    Methods for adaptive combination of classifiers with application to recognition of handwritten characters. [Citation Graph (0, 0)][DBLP]
    IJDAR, 2003, v:6, n:1, pp:23-41 [Journal]
  40. Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas
    Experiments with adaptation strategies for a prototype-based recognition system for isolated handwritten characters. [Citation Graph (0, 0)][DBLP]
    IJDAR, 2001, v:3, n:3, pp:150-159 [Journal]
  41. Xavier Giannakopoulos, Juha Karhunen, Erkki Oja
    An Experimental Comparison of Neural Algorithms for Independent Component Analysis and Blind Separation. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1999, v:9, n:2, pp:99-114 [Journal]
  42. Aapo Hyvärinen, Erkki Oja
    Simple Neuron Models for Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1996, v:7, n:6, pp:671-688 [Journal]
  43. Erkki Oja
    Neural Networks, Principal Components, and Subspaces. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1989, v:1, n:1, pp:61-68 [Journal]
  44. Lei Xu, Adam Krzyzak, Erkki Oja
    Neural Nets for Dual Subspace Pattern Recognition Method. [Citation Graph (0, 0)][DBLP]
    Int. J. Neural Syst., 1991, v:2, n:3, pp:169-184 [Journal]
  45. Juha Karhunen, Petteri Pajunen, Erkki Oja
    The nonlinear PCA criterion in blind source separation: Relations with other approaches. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1998, v:22, n:1-3, pp:5-20 [Journal]
  46. Erkki Oja
    The nonlinear PCA learning rule in independent component analysis. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1997, v:17, n:1, pp:25-45 [Journal]
  47. Erkki Oja
    From neural learning to independent components. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1998, v:22, n:1-3, pp:187-199 [Journal]
  48. Erkki Oja, Liuyue Wang
    Neural fitting: Robustness by anti-Hebbian learning. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 1996, v:12, n:2-3, pp:155-170 [Journal]
  49. Jorma Laaksonen, Erkki Oja
    Learning Subspace Classifiers and Error-Corrective Feature Extraction. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1998, v:12, n:4, pp:423-436 [Journal]
  50. Kimmo Valkealahti, Erkki Oja
    Texture Classification with Single- and Multiresolution Co-Occurrence Maps. [Citation Graph (0, 0)][DBLP]
    IJPRAI, 1998, v:12, n:4, pp:437-452 [Journal]
  51. Heikki Kälviäinen, Petri Hirvonen, Lei Xu, Erkki Oja
    Probabilistic and non-probabilistic Hough transforms: overview and comparisons. [Citation Graph (0, 0)][DBLP]
    Image Vision Comput., 1995, v:13, n:4, pp:239-252 [Journal]
  52. Te-Won Lee, Jean-Francois Cardoso, Erkki Oja, Shun-ichi Amari
    Introduction to Special Issue on Independent Components Analysis. [Citation Graph (0, 0)][DBLP]
    Journal of Machine Learning Research, 2003, v:4, n:, pp:1175-1176 [Journal]
  53. Aapo Hyvärinen, Erkki Oja
    A Fast Fixed-Point Algorithm for Independent Component Analysis. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 1997, v:9, n:7, pp:1483-1492 [Journal]
  54. Visa Koivunen, Mihai Enescu, Erkki Oja
    Adaptive Algorithm for Blind Separation from Noisy Time-Varying Mixtures. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2001, v:13, n:10, pp:2339-2357 [Journal]
  55. Erkki Oja, Mark D. Plumbley
    Blind Separation of Positive Sources by Globally Convergent Gradient Search. [Citation Graph (0, 0)][DBLP]
    Neural Computation, 2004, v:16, n:9, pp:1811-1825 [Journal]
  56. Maria Funaro, Erkki Oja, Harri Valpola
    Independent component analysis for artefact separation in astrophysical images. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2003, v:16, n:3-4, pp:469-478 [Journal]
  57. Aapo Hyvärinen, Erkki Oja
    Independent component analysis: algorithms and applications. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2000, v:13, n:4-5, pp:411-430 [Journal]
  58. Alexander Ilin, Harri Valpola, Erkki Oja
    Exploratory analysis of climate data using source separation methods. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2006, v:19, n:2, pp:155-167 [Journal]
  59. Jorma Laaksonen, Markus Koskela, Erkki Oja
    Class distributions on SOM surfaces for feature extraction and object retrieval. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2004, v:17, n:8-9, pp:1121-1133 [Journal]
  60. Erkki Oja
    Principal components, minor components, and linear neural networks. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1992, v:5, n:6, pp:927-935 [Journal]
  61. Erkki Oja, Liuyue Wang
    Robust fitting by nonlinear neural units. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1996, v:9, n:3, pp:435-444 [Journal]
  62. Ricardo Vigário, Erkki Oja
    Independence: a new criterion for the analysis of the electromagnetic fields in the global brain? [Citation Graph (0, 0)][DBLP]
    Neural Networks, 2000, v:13, n:8-9, pp:891-907 [Journal]
  63. Lei Xu, Erkki Oja, Ching Y. Suen
    Modified Hebbian learning for curve and surface fitting. [Citation Graph (0, 0)][DBLP]
    Neural Networks, 1992, v:5, n:3, pp:441-457 [Journal]
  64. Jussi Pakkanen, Jukka Iivarinen, Erkki Oja
    The Evolving Tree - A Novel Self-Organizing Network for Data Analysis. [Citation Graph (0, 0)][DBLP]
    Neural Processing Letters, 2004, v:20, n:3, pp:199-211 [Journal]
  65. Jorma Laaksonen, Markus Koskela, Sami Laakso, Erkki Oja
    Self-Organising Maps as a Relevance Feedback Technique in Content-Based Image Retrieval. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 2001, v:4, n:2-3, pp:140-152 [Journal]
  66. Erkki Oja, Aapo Hyvärinen, Patrik O. Hoyer
    Image Feature Extraction and Denoising by Sparse Coding. [Citation Graph (0, 0)][DBLP]
    Pattern Anal. Appl., 1999, v:2, n:2, pp:104-110 [Journal]
  67. Kimmo Valkealahti, Erkki Oja
    Reduced Multidimensional Co-Occurrence Histograms in Texture Classification. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Pattern Anal. Mach. Intell., 1998, v:20, n:1, pp:90-94 [Journal]
  68. Erkki Oja, Maija Kuusela
    The ALSM algorithm - an improved subspace method of classification. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 1983, v:16, n:4, pp:421-427 [Journal]
  69. Timo Ojala, Kimmo Valkealahti, Erkki Oja, Matti Pietikäinen
    Texture discrimination with multidimensional distributions of signed gray-level differences. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition, 2001, v:34, n:3, pp:727-739 [Journal]
  70. Heikki Kälviäinen, Petri Hirvonen, Erkki Oja
    Houghtool -- A software package for the use of the Hough transform. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1996, v:17, n:8, pp:889-897 [Journal]
  71. Jorma Laaksonen, Markus Koskela, Sami Laakso, Erkki Oja
    PicSOM - content-based image retrieval with self-organizing maps. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 2000, v:21, n:13-14, pp:1199-1207 [Journal]
  72. Erkki Oja, Kimmo Valkealahti
    Co-occurrence map: Quantizing multidimensional texture histograms. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1996, v:17, n:7, pp:723-730 [Journal]
  73. Jussi Parkkinen, K. Selkäinaho, Erkki Oja
    Detecting texture periodicity from the cooccurrence matrix. [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1990, v:11, n:1, pp:43-50 [Journal]
  74. Lei Xu, Erkki Oja, Pekka Kultanen
    A new curve detection method: Randomized Hough transform (RHT). [Citation Graph (0, 0)][DBLP]
    Pattern Recognition Letters, 1990, v:11, n:5, pp:331-338 [Journal]
  75. Erkki Oja
    On the Construction of Projectors Using Products of Elementary Matrices. [Citation Graph (0, 0)][DBLP]
    IEEE Trans. Computers, 1979, v:28, n:1, pp:65-66 [Journal]
  76. Erkki Oja
    Unsupervised learning in neural computation. [Citation Graph (0, 0)][DBLP]
    Theor. Comput. Sci., 2002, v:287, n:1, pp:187-207 [Journal]
  77. Erkki Oja, Stefan Harmeling, Luis B. Almeida
    Independent component analysis and beyond. [Citation Graph (0, 0)][DBLP]
    Signal Processing, 2004, v:84, n:2, pp:215-216 [Journal]
  78. Amaury Lendasse, Erkki Oja, Olli Simula, Michel Verleysen
    Time series prediction competition: The CATS benchmark. [Citation Graph (0, 0)][DBLP]
    Neurocomputing, 2007, v:70, n:13-15, pp:2325-2329 [Journal]

  79. Speed and Accuracy Enhancement of Linear ICA Techniques Using Rational Nonlinear Functions. [Citation Graph (, )][DBLP]


  80. Automatic Rank Determination in Projective Nonnegative Matrix Factorization. [Citation Graph (, )][DBLP]


  81. Projective Nonnegative Matrix Factorization with α-Divergence. [Citation Graph (, )][DBLP]


  82. Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction. [Citation Graph (, )][DBLP]


  83. Extraction of Components with Structured Variance. [Citation Graph (, )][DBLP]


  84. Randomized Hough Transform (RHT) in Engineering Drawing Vectorization System. [Citation Graph (, )][DBLP]


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