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ORCIDErkki Oja
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- affiliation: Aalto University, Finland
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2010 – 2019
- 2016
[j74]Zhirong Yang, Jukka Corander, Erkki Oja:
Low-Rank Doubly Stochastic Matrix Decomposition for Cluster Analysis. J. Mach. Learn. Res. 17: 187:1-187:25 (2016)- 2015
- [j73]He Zhang, Mehmet Gönen
, Zhirong Yang, Erkki Oja:
Understanding emotional impact of images using Bayesian multiple kernel learning. Neurocomputing 165: 3-13 (2015) - [j72]Onur Dikmen, Zhirong Yang, Erkki Oja:
Learning the Information Divergence. IEEE Trans. Pattern Anal. Mach. Intell. 37(7): 1442-1454 (2015) - [i3]Ehsan Amid, Onur Dikmen, Erkki Oja:
Optimizing the Information Retrieval Trade-off in Data Visualization Using $α$-Divergence. CoRR abs/1505.05821 (2015) - 2014
- [j71]He Zhang, Zhirong Yang, Erkki Oja:
Adaptive multiplicative updates for quadratic nonnegative matrix factorization. Neurocomputing 134: 206-213 (2014) - [j70]He Zhang, Zhirong Yang, Erkki Oja:
Improving cluster analysis by co-initializations. Pattern Recognit. Lett. 45: 71-77 (2014) - [c95]Nicolau Gonçalves, Erkki Oja, Ricardo Vigário:
Medical Document Mining Combining Image Exploration and Text Characterization. Discovery Science 2014: 99-110 - [c94]Satoru Ishikawa, Markus Koskela, Mats Sjöberg, Rao Muhammad Anwer, Jorma Laaksonen, Erkki Oja:
PicSOM Experiments in TRECVID 2014. TRECVID 2014 - [i2]Onur Dikmen, Zhirong Yang, Erkki Oja:
Learning the Information Divergence. CoRR abs/1406.1385 (2014) - 2013
- [j69]Erkki Oja:
IEEE Fellows' Class of 2013 [Society Briefs]. IEEE Comput. Intell. Mag. 8(2): 6-9 (2013) - [c93]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: 166-175 - [c92]He Zhang, Mehmet Gönen, Zhirong Yang, Erkki Oja:
Predicting Emotional States of Images Using Bayesian Multiple Kernel Learning. ICONIP (3) 2013: 274-282 - [c91]Zhanxing Zhu, Zhirong Yang, Erkki Oja:
Multiplicative Updates for Learning with Stochastic Matrices. SCIA 2013: 143-152 - [c90]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 - 2012
- [j68]Zhirong Yang, Erkki Oja:
Quadratic nonnegative matrix factorization. Pattern Recognit. 45(4): 1500-1510 (2012) - [j67]Nima Reyhani, Jarkko Ylipaavalniemi, Ricardo Vigário, Erkki Oja:
Consistency and asymptotic normality of FastICA and bootstrap FastICA. Signal Process. 92(8): 1767-1778 (2012) - [c89]He Zhang, Tele Hao, Zhirong Yang, Erkki Oja:
Pairwise Clustering with t-PLSI. ICANN (2) 2012: 411-418 - [c88]Zhiyun Lu, Zhirong Yang, Erkki Oja:
Selecting β-Divergence for Nonnegative Matrix Factorization by Score Matching. ICANN (2) 2012: 419-426 - [c87]Zhirong Yang, Erkki Oja:
Clustering by Low-Rank Doubly Stochastic Matrix Decomposition. ICML 2012 - [c86]He Zhang, Zhirong Yang, Erkki Oja:
Adaptive Multiplicative Updates for Projective Nonnegative Matrix Factorization. ICONIP (3) 2012: 277-284 - [c85]Zhirong Yang, He Zhang, Erkki Oja:
Online Projective Nonnegative Matrix Factorization for Large Datasets. ICONIP (3) 2012: 285-290 - [c84]Zhirong Yang, Tele Hao, Onur Dikmen, Xi Chen, Erkki Oja:
Clustering by Nonnegative Matrix Factorization Using Graph Random Walk. NIPS 2012: 1088-1096 - [c83]Mats Sjöberg, Satoru Ishikawa, Markus Koskela, Jorma Laaksonen, Erkki Oja:
PicSOM Experiments in TRECVID 2012. TRECVID 2012 - [i1]Zhirong Yang, Erkki Oja:
Clustering by Low-Rank Doubly Stochastic Matrix Decomposition. CoRR abs/1206.4676 (2012) - 2011
- [j66]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) - [j65]Zhirong Yang, Erkki Oja:
Unified Development of Multiplicative Algorithms for Linear and Quadratic Nonnegative Matrix Factorization. IEEE Trans. Neural Networks 22(12): 1878-1891 (2011) - [c82]Zhirong Yang, He Zhang, Zhijian Yuan, Erkki Oja:
Kullback-Leibler Divergence for Nonnegative Matrix Factorization. ICANN (1) 2011: 250-257 - [c81]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 - [c80]He Zhang, Mats Sjöberg, Jorma Laaksonen, Erkki Oja:
A Multimodal Information Collector for Content-Based Image Retrieval System. ICONIP (3) 2011: 737-746 - [c79]Nima Reyhani, Erkki Oja:
Non-Gaussian component analysis using Density Gradient Covariance matrix. IJCNN 2011: 966-972 - [c78]Mats Sjöberg, Satoru Ishikawa, Markus Koskela, Jorma Laaksonen, Erkki Oja:
PicSOM Experiments in TRECVID 2011. TRECVID 2011 - 2010
- [j64]Zhirong Yang, Erkki Oja:
Linear and nonlinear projective nonnegative matrix factorization. IEEE Trans. Neural Networks 21(5): 734-749 (2010) - [c77]Mark van Heeswijk, Yoan Miche, Erkki Oja, Amaury Lendasse:
Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs. ESANN 2010 - [c76]Zhirong Yang, Zhanxing Zhu, Erkki Oja:
Automatic Rank Determination in Projective Nonnegative Matrix Factorization. LVA/ICA 2010: 514-521 - [c75]Dusan Sovilj, Tapani Raiko, Erkki Oja:
Extending Self-Organizing Maps with uncertainty information of probabilistic PCA. IJCNN 2010: 1-7
2000 – 2009
- 2009
- [c74]Zhirong Yang, Erkki Oja:
Projective Nonnegative Matrix Factorization with α-Divergence. ICANN (1) 2009: 20-29 - [c73]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 - [c72]Zhirong Yang, Irwin King, Zenglin Xu, Erkki Oja:
Heavy-Tailed Symmetric Stochastic Neighbor Embedding. NIPS 2009: 2169-2177 - [e6]Emilio Corchado, Xindong Wu, Erkki Oja, Álvaro Herrero, Bruno Baruque:
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 [contents] - [r1]Lei Xu, Erkki Oja:
Randomized Hough Transform. Encyclopedia of Artificial Intelligence 2009: 1343-1350 - 2008
- [j63]Erkki Oja:
Oja learning rule. Scholarpedia 3(3): 3612 (2008) - [j62]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): 1715-1716 (2008) - 2007
- [j61]Amaury Lendasse, Erkki Oja, Olli Simula, Michel Verleysen:
Time series prediction competition: The CATS benchmark. Neurocomputing 70(13-15): 2325-2329 (2007) - [c71]Petr Tichavský, Zbynek Koldovský, Erkki Oja:
Speed and Accuracy Enhancement of Linear ICA Techniques Using Rational Nonlinear Functions. ICA 2007: 285-292 - [c70]Zhijian Yuan, Erkki Oja:
A family of modified projective Nonnegative Matrix Factorization algorithms. ISSPA 2007: 1-4 - 2006
- [j60]Alexander Ilin, Harri Valpola, Erkki Oja:
Exploratory analysis of climate data using source separation methods. Neural Networks 19(2): 155-167 (2006) - [j59]Jussi Pakkanen, Jukka Iivarinen, Erkki Oja:
The evolving tree-analysis and applications. IEEE Trans. Neural Networks 17(3): 591-603 (2006) - [j58]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): 1265-1277 (2006) - [j57]Erkki Oja, Zhijian Yuan:
The FastICA Algorithm Revisited: Convergence Analysis. IEEE Trans. Neural Networks 17(6): 1370-1381 (2006) - [j56]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): 1189-1203 (2006) - [j55]Karthikesh Raju, Tapani Ristaniemi, Juha Karhunen, Erkki Oja:
Jammer suppression in DS-CDMA arrays using independent component analysis. IEEE Trans. Wirel. Commun. 5(1): 77-82 (2006) - [c69]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 - [c68]Scott C. Douglas, Zhijian Yuan, Erkki Oja:
Average Convergence Behavior of the FastICA Algorithm for Blind Source Separation. ICA 2006: 790-798 - [c67]Alexander Ilin, Harri Valpola, Erkki Oja:
Extraction of Components with Structured Variance. IJCNN 2006: 5110-5117 - [e5]Stefanos D. Kollias, Andreas Stafylopatis, Wlodzislaw Duch, Erkki Oja:
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 [contents] - [e4]Stefanos D. Kollias, Andreas Stafylopatis, Wlodzislaw Duch, Erkki Oja:
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 [contents] - 2005
- [c66]Zbynek Koldovský, Petr Tichavský, Erkki Oja:
Cramer-Rao lower bound for linear independent component analysis. ICASSP (3) 2005: 581-584 - [c65]Zhijian Yuan, Erkki Oja:
Projective Nonnegative Matrix Factorization for Image Compression and Feature Extraction. SCIA 2005: 333-342 - [e3]Wlodzislaw Duch, Janusz Kacprzyk, Erkki Oja, Slawomir Zadrozny:
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 [contents] - [e2]Wlodzislaw Duch, Janusz Kacprzyk, Erkki Oja, Slawomir Zadrozny:
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 [contents] - 2004
- [j54]Erkki Oja, Mark D. Plumbley:
Blind Separation of Positive Sources by Globally Convergent Gradient Search. Neural Comput. 16(9): 1811-1825 (2004) - [j53]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) - [j52]Jussi Pakkanen, Jukka Iivarinen, Erkki Oja:
The Evolving Tree - A Novel Self-Organizing Network for Data Analysis. Neural Process. Lett. 20(3): 199-211 (2004) - [j51]Erkki Oja, Stefan Harmeling, Luís B. Almeida:
Independent component analysis and beyond. Signal Process. 84(2): 215-216 (2004) - [j50]Mark D. Plumbley, Erkki Oja:
A "nonnegative PCA" algorithm for independent component analysis. IEEE Trans. Neural Networks 15(1): 66-76 (2004) - [j49]Alexander Ilin, Harri Valpola, Erkki Oja:
Nonlinear dynamical factor analysis for state change detection. IEEE Trans. Neural Networks 15(3): 559-575 (2004) - [j48]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): 789-791 (2004) - [c64]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 - [c63]Markus Koskela, Jorma Laaksonen, Erkki Oja:
Use of Image Subset Features in Image Retrieval with Self-Organizing Maps. CIVR 2004: 508-516 - [c62]Zhijian Yuan, Erkki Oja:
A FastICA Algorithm for Non-negative Independent Component Analysis. ICA 2004: 1-8 - [c61]Erkki Oja:
Applications of Independent Component Analysis. ICONIP 2004: 1044-1051 - [c60]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 - [c59]Erkki Oja:
Finding Clusters and Components by Unsupervised Learning. SSPR/SPR 2004: 1-15 - 2003
- [j47]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. 86-A(3): 532-541 (2003) - [j46]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): 23-41 (2003) - [j45]Te-Won Lee, Jean-François Cardoso, Erkki Oja, Shun-ichi Amari:
Introduction to Special Issue on Independent Components Analysis. J. Mach. Learn. Res. 4: 1175-1176 (2003) - [j44]Maria Funaro, Erkki Oja, Harri Valpola:
Independent component analysis for artefact separation in astrophysical images. Neural Networks 16(3-4): 469-478 (2003) - [e1]Okyay Kaynak, Ethem Alpaydin, Erkki Oja, Lei Xu:
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 [contents] - 2002
- [j43]Sami S. Brandt, Jorma Laaksonen, Erkki Oja:
Statistical Shape Features for Content-Based Image Retrieval. J. Math. Imaging Vis. 17(2): 187-198 (2002) - [j42]Erkki Oja:
Unsupervised learning in neural computation. Theor. Comput. Sci. 287(1): 187-207 (2002) - [j41]Jorma Laaksonen, Markus Koskela, Erkki Oja:
PicSOM-self-organizing image retrieval with MPEG-7 content descriptors. IEEE Trans. Neural Networks 13(4): 841-853 (2002) - [c58]Erkki Oja:
Finding Hidden Factors Using Independent Component Analysis. ECML 2002: 505 - [c57]Erkki Oja:
Independent Component Analisys. HIS 2002: 3 - [c56]Markus Koskela, Jorma Laaksonen, Erkki Oja:
Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps. ICANN 2002: 981-986 - [c55]Matti Aksela, Ramunas Girdziusas, Jorma Laaksonen, Erkki Oja, Jari Kangas:
Class-confidence critic combining. IWFHR 2002: 201-206 - [c54]Markus Koskela, Jorma Laaksonen, Erkki Oja:
Using MPEG-7 Descriptors in Image Retrieval with Self-Organizing Maps. ICPR (2) 2002: 1049-1052 - [c53]Tapani Ristaniemi, Karthikesh Raju, Juha Karhunen, Erkki Oja:
Jammer cancellation in DS-CDMA arrays: pre and post switching of ICA and RAKE. NNSP 2002: 495-504 - [c52]Erkki Oja:
Finding Hidden Factors UsingIndependent Component Analysis. PKDD 2002: 488 - [c51]Markus Koskela, Jorma Laaksonen, Erkki Oja:
MPEG-7 Descriptors in Content-Based Image Retrieval with PicSOM System. VISUAL 2002: 247-258 - 2001
- [b1]Aapo Hyvärinen, Juha Karhunen, Erkki Oja:
Independent Component Analysis. Wiley 2001, ISBN 0-471-40540-X, pp. 1-475 - [j40]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): 150-159 (2001) - [j39]Visa Koivunen, Mihai Enescu, Erkki Oja:
Adaptive Algorithm for Blind Separation from Noisy Time-Varying Mixtures. Neural Comput. 13(10): 2339-2357 (2001) - [j38]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) - [j37]Timo Ojala, Kimmo Valkealahti, Erkki Oja, Matti Pietikäinen:
Texture discrimination with multidimensional distributions of signed gray-level differences. Pattern Recognit. 34(3): 727-739 (2001) - [c50]Matti Aksela, Jorma Laaksonen, Erkki Oja, Jari Kangas:
Application of Adaptive Committee Classifiers in On-Line Character Recognition. ICAPR 2001: 270-279 - [c49]Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas:
Speeding Up On-line Recognition of Handwritten Characters by Pruning the Prototype Set. ICDAR 2001: 501-507 - [c48]Matti Aksela, Jorma Laaksonen, Erkki Oja, Jari Kangas:
Rejection Methods for an Adaptive Committee Classifier. ICDAR 2001: 982-986 - [c47]Sami Laakso, Jorma Laaksonen, Markus Koskela, Erkki Oja:
Self-Organizing Maps of Web Link Information. WSOM 2001: 146-151 - 2000
- [j36]Aapo Hyvärinen, Erkki Oja:
Independent component analysis: algorithms and applications. Neural Networks 13(4-5): 411-430 (2000) - [j35]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) - [j34]Jorma Laaksonen, Markus Koskela, Sami Laakso, Erkki Oja:
PicSOM - content-based image retrieval with self-organizing maps. Pattern Recognit. Lett. 21(13-14): 1199-1207 (2000) - [j33]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): 589-593 (2000) - [c46]Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas:
Controlling On-Line Adaptation of a Prototype-Based Classifier for Handwritten Characters. ICPR 2000: 2331-2334 - [c45]Sami S. Brandt, Jorma Laaksonen, Erkki Oja:
Statistical Shape Features in Content-Based Image Retrieval. ICPR 2000: 6062-6066 - [c44]Markus Koskela, Jorma Laaksonen, Sami Laakso, Erkki Oja:
Evaluating the Performance of Content-Based Image Retrieval Systems. VISUAL 2000: 430-441
1990 – 1999
- 1999
- [j32]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) - [j31]Erkki Oja, Aapo Hyvärinen, Patrik O. Hoyer:
Image Feature Extraction and Denoising by Sparse Coding. Pattern Anal. Appl. 2(2): 104-110 (1999) - [c43]Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas:
On-line Adaptation in Recognition of Handwritten Alphanumeric Characters. ICDAR 1999: 792-795 - [c42]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 - [c41]Xavier Giannakopoulos, Juha Karhunen, Erkki Oja:
A comparison of neural ICA algorithms using real-world data. IJCNN 1999: 888-893 - [c40]Aapo Hyvärinen, Razvan Cristescu, Erkki Oja:
A fast algorithm for estimating overcomplete ICA bases for image windows. IJCNN 1999: 894-899 - [c39]Jorma Laaksonen, Markus Koskela, Erkki Oja:
PicSOM: self-organizing maps for content-based image retrieval. IJCNN 1999: 2470-2473 - [c38]Jorma Laaksonen, Matti Aksela, Erkki Oja, Jari Kangas:
Adaptive local subspace classifier in on-line recognition of handwritten characters. IJCNN 1999: 2812-2815 - [c37]Erkki Oja, Kimmo Kiviluoto:
Data analysis, visualization, and hidden factor discovery by unsupervised learning. IJCNN 1999: 3871-3876 - [c36]Ricardo Vigário, Erkki Oja:
Independent Component Analysis of Human Brain Waves. IWANN (2) 1999: 238-247 - [c35]Jorma Laaksonen, Markus Koskela, Erkki Oja:
Content-Based Image Retrieval Using Self-Organizing Maps. VISUAL 1999: 541-548 - 1998
- [j30]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) - [j29]Erkki Oja:
From neural learning to independent components. Neurocomputing 22(1-3): 187-199 (1998) - [j28]Jorma Laaksonen, Erkki Oja:
Learning Subspace Classifiers and Error-Corrective Feature Extraction. Int. J. Pattern Recognit. Artif. Intell. 12(4): 423-436 (1998) - [j27]Kimmo Valkealahti, Erkki Oja:
Texture Classification with Single- and Multiresolution Co-Occurrence Maps. Int. J. Pattern Recognit. Artif. Intell. 12(4): 437-452 (1998) - [j26]Teuvo Kohonen, Erkki Oja:
Visual feature analysis by the self-organising maps. Neural Comput. Appl. 7(3): 273-286 (1998) - [j25]Kimmo Valkealahti, Erkki Oja:
Reduced Multidimensional Co-Occurrence Histograms in Texture Classification. IEEE Trans. Pattern Anal. Mach. Intell. 20(1): 90-94 (1998) - [j24]Aapo Hyvärinen, Erkki Oja:
Independent component analysis by general nonlinear Hebbian-like learning rules. Signal Process. 64(3): 301-313 (1998) - [c34]Visa Koivunen, Petteri Pajunen, Juha Karhunen, Erkki Oja:
Blind separation from ε-contaminated mixtures. EUSIPCO 1998: 1-4 - [c33]Erkki Oja:
Signal Decomposition by Fast ICA. ICONIP 1998: 594-602 - [c32]Erkki Oja:
The Nonlinear PCA Approach to ICA. ICONIP 1998: 725-728 - [c31]Kimmo Kiviluoto, Erkki Oja:
Independent Component Analysis for Parallel Financial Time Series. ICONIP 1998: 895-898 - [c30]Kimmo Valkealahti, Erkki Oja:
Reduced multidimensional histograms in color texture description. ICPR 1998: 1057-1061 - [c29]Aapo Hyvärinen, Erkki Oja, Patrik O. Hoyer, Jarmo Hurri:
Image feature extraction by sparse coding and independent component analysis. ICPR 1998: 1268-1273 - [c28]Aapo Hyvärinen, Patrik O. Hoyer, Erkki Oja:
Sparse Code Shrinkage: Denoising by Nonlinear Maximum Likelihood Estimation. NIPS 1998: 473-479 - 1997
- [j23]Erkki Oja:
The nonlinear PCA learning rule in independent component analysis. Neurocomputing 17(1): 25-45 (1997) - [j22]Aapo Hyvärinen, Erkki Oja:
A Fast Fixed-Point Algorithm for Independent Component Analysis. Neural Comput. 9(7): 1483-1492 (1997) - [j21]Lasse Holmström, Petri Koistinen, Jorma Laaksonen, Erkki Oja:
Neural and statistical classifiers-taxonomy and two case studies. IEEE Trans. Neural Networks 8(1): 5-17 (1997) - [j20]Juha Karhunen, Erkki Oja, Liuyue Wang, Ricardo Vigário, Jyrki Joutsensalo:
A class of neural networks for independent component analysis. IEEE Trans. Neural Networks 8(3): 486-504 (1997) - [c27]Erkki Oja, Juha Karhunen, Aapo Hyvärinen:
From Neural Principal Components to Neural Independent Components. ICANN 1997: 519-528 - [c26]Erkki Oja, Kimmo Valkealahti:
Local Independent Component Analysis by the Self-Organizing Map. ICANN 1997: 553-558 - [c25]Juha Karhunen, Aapo Hyvärinen, Ricardo Vigário, Jarmo Hurri, Erkki Oja:
Applications of neural blind separation to signal and image processing. ICASSP 1997: 131-134 - [c24]Ricardo Vigário, Veikko Jousmäki, Matti Hämäläinen, Riitta Hari, Erkki Oja:
Independent Component Analysis for Identification of Artifacts in Magnetoencephalographic Recordings. NIPS 1997: 229-235 - [c23]Kimmo Kiviluoto, Erkki Oja:
S-Map: A Network with a Simple Self-Organization Algorithm for Generative Topographic Mappings. NIPS 1997: 549-555 - 1996
- [j19]Aapo Hyvärinen, Erkki Oja:
Simple Neuron Models for Independent Component Analysis. Int. J. Neural Syst. 7(6): 671-688 (1996) - [j18]Erkki Oja, Liuyue Wang:
Neural fitting: Robustness by anti-Hebbian learning. Neurocomputing 12(2-3): 155-170 (1996) - [j17]Erkki Oja, Liuyue Wang:
Robust fitting by nonlinear neural units. Neural Networks 9(3): 435-444 (1996) - [j16]Teuvo Kohonen, Erkki Oja, Olli Simula, Aari Visa, Jari Kangas:
Engineering applications of the self-organizing map. Proc. IEEE 84(10): 1358-1384 (1996) - [j15]Erkki Oja, Kimmo Valkealahti:
Co-occurrence map: Quantizing multidimensional texture histograms. Pattern Recognit. Lett. 17(7): 723-730 (1996) - [j14]Heikki Kälviäinen, Petri Hirvonen, Erkki Oja:
Houghtool -- A software package for the use of the Hough transform. Pattern Recognit. Lett. 17(8): 889-897 (1996) - [c22]Jorma Laaksonen, Erkki Oja:
Subspace Dimension Selection and Averaged Learning Subspace Method in Handwritten Digit Classification. ICANN 1996: 227-232 - [c21]Kimmo Valkealahti, Erkki Oja:
Optimal Texture Feature Selection for the Co-Occurrence Map. ICANN 1996: 245-250 - [c20]Aapo Hyvärinen, Erkki Oja:
A neuron that learns to separate one signal from a mixture of independent sources. ICNN 1996: 62-67 - [c19]Jorma Laaksonen, Erkki Oja:
Classification with learning k-nearest neighbors. ICNN 1996: 1480-1483 - [c18]Lasse Holmström, Petri Koistinen, Jorma Laaksonen, Erkki Oja:
Neural network and statistical perspectives of classification. ICPR 1996: 286-290 - [c17]Aapo Hyvärinen, Erkki Oja:
One-unit Learning Rules for Independent Component Analysis. NIPS 1996: 480-486 - 1995
- [j13]Heikki Kälviäinen, Petri Hirvonen, Lei Xu, Erkki Oja:
Probabilistic and non-probabilistic Hough transforms: overview and comparisons. Image Vis. Comput. 13(4): 239-252 (1995) - [j12]Jouko Lampinen, Erkki Oja:
Distortion tolerant pattern recognition based on self-organizing feature extraction. IEEE Trans. Neural Networks 6(3): 539-547 (1995) - [c16]Erkki Oja, Kimmo Valkealahti:
Compressing higher-order co-occurrences for texture analysis using the self-organizing map. ICNN 1995: 1160-1164 - [c15]Liuyue Wang, Juha Karhunen, Erkki Oja:
A bigradient optimization approach for robust PCA, MCA, and source separation. ICNN 1995: 1684-1689 - 1994
- [c14]Heikki Kälviäinen, Petri Hirvonen, Lei Xu, Erkki Oja:
Comparisons of Probabilistic and Non-probabilistic Hough Transforms. ECCV (2) 1994: 351-360 - 1993
- [j11]Lei Xu, Adam Krzyzak, Erkki Oja:
Rival penalized competitive learning for clustering analysis, RBF net, and curve detection. IEEE Trans. Neural Networks 4(4): 636-649 (1993) - 1992
- [j10]Jouko Lampinen, Erkki Oja:
Clustering properties of hierarchical self-organizing maps. J. Math. Imaging Vis. 2(2-3): 261-272 (1992) - [j9]Lei Xu, Erkki Oja, Ching Y. Suen:
Modified Hebbian learning for curve and surface fitting. Neural Networks 5(3): 441-457 (1992) - [j8]Erkki Oja:
Principal components, minor components, and linear neural networks. Neural Networks 5(6): 927-935 (1992) - [c13]Lei Xu, Erkki Oja:
Further developments on RHT: basic mechanisms, algorithms, and computational complexities. ICPR (1) 1992: 125-128 - [c12]Lei Xu, Adam Krzyzak, Erkki Oja:
Unsupervised and supervised classifications by rival penalized competitive learning. ICPR (2) 1992: 496-499 - [c11]Heikki Kälviäinen, Erkki Oja, Lei Xu:
Randomized Hough transform applied to translational and rotational motion analysis. ICPR (1) 1992: 672-675 - 1991
- [j7]Lei Xu, Adam Krzyzak, Erkki Oja:
Neural Nets for Dual Subspace Pattern Recognition Method. Int. J. Neural Syst. 2(3): 169-184 (1991) - 1990
- [j6]Jussi Parkkinen, K. Selkäinaho, Erkki Oja:
Detecting texture periodicity from the cooccurrence matrix. Pattern Recognit. Lett. 11(1): 43-50 (1990) - [j5]Lei Xu, Erkki Oja, Pekka Kultanen:
A new curve detection method: Randomized Hough transform (RHT). Pattern Recognit. Lett. 11(5): 331-338 (1990) - [c10]Lei Xu, Erkki Oja:
Improved Simulated Annealing, Boltzmann Machine, and Attributed Graph Matching. EURASIP Workshop 1990: 151-160 - [c9]Pekka Kultanen, Lei Xu, Erkki Oja:
Randomized Hough transform (RHT). ICPR (1) 1990: 631-635 - [c8]Pasi Koikkalainen, Erkki Oja:
Self-organizing hierarchical feature maps. IJCNN 1990: 279-284 - [c7]Pekka Kultanen, Erkki Oja, Lei Xu:
Randomized Hough Transform (RHT) in Engineering Drawing Vectorization System. MVA 1990: 173-176
1980 – 1989
- 1989
- [j4]Erkki Oja:
Neural Networks, Principal Components, and Subspaces. Int. J. Neural Syst. 1(1): 61-68 (1989) - [c6]Jouko Lampinen, Erkki Oja:
Fast Computation of Kohonen Self-Organization. NATO Neurocomputing 1989: 65-74 - 1988
- [c5]Erkki Oja, Teuvo Kohonen:
The subspace learning algorithm as a formalism for pattern recognition and neural networks. ICNN 1988: 277-284 - [c4]Jussi Parkkinen, Erkki Oja, Timo Jääskeläinen:
Color analysis by learning subspaces and optical processing. ICNN 1988: 421-427 - [c3]Pasi Koikkalainen, Erkki Oja:
Specification and implementation environment for neural networks using communicating sequential processes. ICNN 1988: 533-540vol.1. - [c2]K. Selkäinaho, Jussi Parkkinen, Erkki Oja:
Comparison of χ2 and κ statistics in finding signal and picture periodicity. ICPR 1988: 1221-1224 - 1986
- [j3]Erkki Oja, Hidemitsu Ogawa:
Parametric projection filter for image and signal restoration. IEEE Trans. Acoust. Speech Signal Process. 34(6): 1643-1653 (1986) - [c1]Erkki Oja, Jouko Lampinen:
A fast local PPF restoration filter. ICASSP 1986: 1497-1500 - 1983
- [j2]Erkki Oja, Maija Kuusela:
The ALSM algorithm - an improved subspace method of classification. Pattern Recognit. 16(4): 421-427 (1983)
1970 – 1979
- 1979
- [j1]Erkki Oja:
On the Construction of Projectors Using Products of Elementary Matrices. IEEE Trans. Computers 28(1): 65-66 (1979)
Coauthor Index
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