Erkki Oja - RankMe

184 papers A* 1A 4B 25C 7Misc 4Journal 77Unranked 60

Year	Rank	Type	Title / Venue / Authors
2016	J	`jnl`	Low-Rank Doubly Stochastic Matrix Decomposition for Cluster Analysis. J. Mach. Learn. Res. Zhirong Yang, Jukka Corander, Erkki Oja
2015	J	`jnl`	Learning the Information Divergence. IEEE Trans. Pattern Anal. Mach. Intell. Onur Dikmen, Zhirong Yang, Erkki Oja
2015	J	`jnl`	Optimizing the Information Retrieval Trade-off in Data Visualization Using $α$-Divergence. CoRR Ehsan Amid, Onur Dikmen, Erkki Oja
2015	J	`jnl`	Understanding emotional impact of images using Bayesian multiple kernel learning. Neurocomputing He Zhang, Mehmet Gönen, Zhirong Yang, Erkki Oja
2014	J	`jnl`	Adaptive multiplicative updates for quadratic nonnegative matrix factorization. Neurocomputing He Zhang, Zhirong Yang, Erkki Oja
2014	J	`jnl`	Improving cluster analysis by co-initializations. Pattern Recognit. Lett. He Zhang, Zhirong Yang, Erkki Oja
2014	J	`jnl`	Learning the Information Divergence. CoRR Onur Dikmen, Zhirong Yang, Erkki Oja
2014	B	`conf`	Medical Document Mining Combining Image Exploration and Text Characterization. Discovery Science Nicolau Gonçalves, Erkki Oja, Ricardo Vigário
2014	—	`conf`	PicSOM Experiments in TRECVID 2014. TRECVID Satoru Ishikawa, Markus Koskela, Mats Sjöberg, Rao Muhammad Anwer, Jorma Laaksonen, Erkki Oja
2013	—	`conf`	Affective Abstract Image Classification and Retrieval Using Multiple Kernel Learning. ICONIP (3) He Zhang, Zhirong Yang, Mehmet Gönen, Markus Koskela, Jorma Laaksonen, Timo Honkela, Erkki Oja
2013	J	`jnl`	IEEE Fellows' Class of 2013 [Society Briefs]. IEEE Comput. Intell. Mag. Erkki Oja
2013	—	`conf`	Multiplicative Updates for Learning with Stochastic Matrices. SCIA Zhanxing Zhu, Zhirong Yang, Erkki Oja
2013	—	`conf`	PicSOM Experiments in TRECVID 2013. TRECVID Satoru Ishikawa, Markus Koskela, Mats Sjöberg, Jorma Laaksonen, Erkki Oja, Ehsan Amid, Kalle J. Palomäki, Annamaria Mesaros, Mikko Kurimo
2013	—	`conf`	Predicting Emotional States of Images Using Bayesian Multiple Kernel Learning. ICONIP (3) He Zhang, Mehmet Gönen, Zhirong Yang, Erkki Oja
2012	—	`conf`	Adaptive Multiplicative Updates for Projective Nonnegative Matrix Factorization. ICONIP (3) He Zhang, Zhirong Yang, Erkki Oja
2012	J	`jnl`	Clustering by Low-Rank Doubly Stochastic Matrix Decomposition CoRR Zhirong Yang, Erkki Oja
2012	A*	`conf`	Clustering by Low-Rank Doubly Stochastic Matrix Decomposition. ICML Zhirong Yang, Erkki Oja
2012	—	`conf`	Clustering by Nonnegative Matrix Factorization Using Graph Random Walk. NIPS Zhirong Yang, Tele Hao, Onur Dikmen, Xi Chen, Erkki Oja
2012	J	`jnl`	Consistency and asymptotic normality of FastICA and bootstrap FastICA. Signal Process. Nima Reyhani, Jarkko Ylipaavalniemi, Ricardo Vigário, Erkki Oja
2012	—	`conf`	Online Projective Nonnegative Matrix Factorization for Large Datasets. ICONIP (3) Zhirong Yang, He Zhang, Erkki Oja
2012	—	`conf`	Pairwise Clustering with t-PLSI. ICANN (2) He Zhang, Tele Hao, Zhirong Yang, Erkki Oja
2012	—	`conf`	PicSOM Experiments in TRECVID 2012. TRECVID Mats Sjöberg, Satoru Ishikawa, Markus Koskela, Jorma Laaksonen, Erkki Oja
2012	J	`jnl`	Quadratic nonnegative matrix factorization. Pattern Recognit. Zhirong Yang, Erkki Oja
2012	—	`conf`	Selecting β-Divergence for Nonnegative Matrix Factorization by Score Matching. ICANN (2) Zhiyun Lu, Zhirong Yang, Erkki Oja
2011	—	`conf`	A Multimodal Information Collector for Content-Based Image Retrieval System. ICONIP (3) He Zhang, Mats Sjöberg, Jorma Laaksonen, Erkki Oja
2011	—	`conf`	Effect of Dimensionality Reduction on Different Distance Measures in Document Clustering. ICONIP (3) Mari-Sanna Paukkeri, Ilkka Kivimäki, Santosh Tirunagari, Erkki Oja, Timo Honkela
2011	J	`jnl`	GPU-accelerated and parallelized ELM ensembles for large-scale regression. Neurocomputing Mark van Heeswijk, Yoan Miche, Erkki Oja, Amaury Lendasse
2011	—	`conf`	Kullback-Leibler Divergence for Nonnegative Matrix Factorization. ICANN (1) Zhirong Yang, He Zhang, Zhijian Yuan, Erkki Oja
2011	B	`conf`	Non-Gaussian component analysis using Density Gradient Covariance matrix. IJCNN Nima Reyhani, Erkki Oja
2011	—	`conf`	PicSOM Experiments in TRECVID 2011. TRECVID Mats Sjöberg, Satoru Ishikawa, Markus Koskela, Jorma Laaksonen, Erkki Oja
2011	J	`jnl`	Unified Development of Multiplicative Algorithms for Linear and Quadratic Nonnegative Matrix Factorization. IEEE Trans. Neural Networks Zhirong Yang, Erkki Oja
2010	—	`conf`	Automatic Rank Determination in Projective Nonnegative Matrix Factorization. LVA/ICA Zhirong Yang, Zhanxing Zhu, Erkki Oja
2010	B	`conf`	Extending Self-Organizing Maps with uncertainty information of probabilistic PCA. IJCNN Dusan Sovilj, Tapani Raiko, Erkki Oja
2010	J	`jnl`	Linear and nonlinear projective nonnegative matrix factorization. IEEE Trans. Neural Networks Zhirong Yang, Erkki Oja
2010	B	`conf`	Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs. ESANN Mark van Heeswijk, Yoan Miche, Erkki Oja, Amaury Lendasse
2009	—	`conf`	Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction. ICANN (2) Mark van Heeswijk, Yoan Miche, Tiina Lindh-Knuutila, Peter A. J. Hilbers, Timo Honkela, Erkki Oja, Amaury Lendasse
2009	—	`conf`	Heavy-Tailed Symmetric Stochastic Neighbor Embedding. NIPS Zhirong Yang, Irwin King, Zenglin Xu, Erkki Oja
2009	Misc	`ed.`	Hybrid Artificial Intelligence Systems, 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009. Proceedings HAIS Emilio Corchado, Xindong Wu, Erkki Oja, Álvaro Herrero, Bruno Baruque
2009	—	`conf`	Projective Nonnegative Matrix Factorization with α-Divergence. ICANN (1) Zhirong Yang, Erkki Oja
2009	—	`ch.`	Randomized Hough Transform. Encyclopedia of Artificial Intelligence Lei Xu, Erkki Oja
2008	J	`jnl`	Corrections to "Performance Analysis of the FastICA Algorithm and CramÉr-Rao Bounds for Linear Independent Component Analysis". IEEE Trans. Signal Process. Petr Tichavský, Zbynek Koldovský, Erkki Oja
2008	J	`jnl`	Oja learning rule. Scholarpedia Erkki Oja
2007	—	`conf`	A family of modified projective Nonnegative Matrix Factorization algorithms. ISSPA Zhijian Yuan, Erkki Oja
2007	—	`conf`	Speed and Accuracy Enhancement of Linear ICA Techniques Using Rational Nonlinear Functions. ICA Petr Tichavský, Zbynek Koldovský, Erkki Oja
2007	J	`jnl`	Time series prediction competition: The CATS benchmark. Neurocomputing Amaury Lendasse, Erkki Oja, Olli Simula, Michel Verleysen
2006	—	`ed.`	Artificial Neural Networks - ICANN 2006, 16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part I ICANN (1) Stefanos D. Kollias, Andreas Stafylopatis, Wlodzislaw Duch, Erkki Oja
2006	—	`ed.`	Artificial Neural Networks - ICANN 2006, 16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part II ICANN (2) Stefanos D. Kollias, Andreas Stafylopatis, Wlodzislaw Duch, Erkki Oja
2006	—	`conf`	Average Convergence Behavior of the FastICA Algorithm for Blind Source Separation. ICA Scott C. Douglas, Zhijian Yuan, Erkki Oja
2006	—	`conf`	Comparison of BSS Methods for the Detection of ICA Sergey Borisov, Alexander Ilin, Ricardo Vigário, Erkki Oja
2006	J	`jnl`	Efficient Variant of Algorithm FastICA for Independent Component Analysis Attaining the CramÉr-Rao Lower Bound. IEEE Trans. Neural Networks Zbynek Koldovský, Petr Tichavský, Erkki Oja
2006	J	`jnl`	Exploratory analysis of climate data using source separation methods. Neural Networks Alexander Ilin, Harri Valpola, Erkki Oja
2006	B	`conf`	Extraction of Components with Structured Variance. IJCNN Alexander Ilin, Harri Valpola, Erkki Oja
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	J	`jnl`	Performance analysis of the FastICA algorithm and Cramér-rao bounds for linear independent component analysis. IEEE Trans. Signal Process. Petr Tichavský, Zbynek Koldovský, Erkki Oja
2006	J	`jnl`	The FastICA Algorithm Revisited: Convergence Analysis. IEEE Trans. Neural Networks Erkki Oja, Zhijian Yuan
2006	J	`jnl`	The evolving tree-analysis and applications. IEEE Trans. Neural Networks Jussi Pakkanen, Jukka Iivarinen, Erkki Oja
2005	—	`ed.`	Artificial Neural Networks: Biological Inspirations - ICANN 2005, 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part I ICANN (1) Wlodzislaw Duch, Janusz Kacprzyk, Erkki Oja, Slawomir Zadrozny
2005	—	`ed.`	Artificial Neural Networks: Formal Models and Their Applications - ICANN 2005, 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part II ICANN (2) Wlodzislaw Duch, Janusz Kacprzyk, Erkki Oja, Slawomir Zadrozny
2005	—	`conf`	Cramer-Rao lower bound for linear independent component analysis. ICASSP (3) Zbynek Koldovský, Petr Tichavský, Erkki Oja
2005	—	`conf`	Projective Nonnegative Matrix Factorization for Image Compression and Feature Extraction. SCIA Zhijian Yuan, Erkki Oja
2005	B	`conf`	Semiblind source separation of climate data detects El Nino as the component with the highest interannual variability. IJCNN Alexander Ilin, Harri Valpola, Erkki Oja
2005	B	`conf`	The evolving tree, a hierarchical tool for unsupervised data analysis. IJCNN Jussi Pakkanen, Jukka livarinen, Erkki Oja
2004	J	`jnl`	A "nonnegative PCA" algorithm for independent component analysis. IEEE Trans. Neural Networks Mark D. Plumbley, Erkki Oja
2004	—	`conf`	A FastICA Algorithm for Non-negative Independent Component Analysis. ICA Zhijian Yuan, Erkki Oja
2004	B	`conf`	Applications of Independent Component Analysis. ICONIP Erkki Oja
2004	B	`conf`	Asymmetric multiagent reinforcement learning in pricing applications. IJCNN Ville Könönen, Erkki Oja
2004	J	`jnl`	Blind Separation of Positive Sources by Globally Convergent Gradient Search. Neural Comput. Erkki Oja, Mark D. Plumbley
2004	J	`jnl`	Class distributions on SOM surfaces for feature extraction and object retrieval. Neural Networks Jorma Laaksonen, Markus Koskela, Erkki Oja
2004	—	`conf`	Entropy-Based Measures for Clustering and SOM Topology Preservation Applied to Content-Based Image Indexing and Retrieval. ICPR (2) Markus Koskela, Jorma Laaksonen, Erkki Oja
2004	—	`conf`	Finding Clusters and Components by Unsupervised Learning. SSPR/SPR Erkki Oja
2004	J	`jnl`	Guest Editorial Special Issue on Information Theoretic Learning. IEEE Trans. Neural Networks José Carlos Príncipe, Erkki Oja, Lei Xu, Andrzej Cichocki, Deniz Erdogmus
2004	J	`jnl`	Independent component analysis and beyond. Signal Process. Erkki Oja, Stefan Harmeling, Luís B. Almeida
2004	J	`jnl`	Nonlinear dynamical factor analysis for state change detection. IEEE Trans. Neural Networks Alexander Ilin, Harri Valpola, Erkki Oja
2004	B	`conf`	Patterns, clusters, and components - what data is made of. IJCNN Erkki Oja
2004	—	`conf`	Task-Based User Evaluation of Content-Based Image Database Browsing Systems. CIVR Timo Ojala, Markus Koskela, Esa Matinmikko, Mika Rautiainen, Jorma Laaksonen, Erkki Oja
2004	J	`jnl`	The Evolving Tree - A Novel Self-Organizing Network for Data Analysis. Neural Process. Lett. Jussi Pakkanen, Jukka Iivarinen, Erkki Oja
2004	—	`conf`	Use of Image Subset Features in Image Retrieval with Self-Organizing Maps. CIVR Markus Koskela, Jorma Laaksonen, Erkki Oja
2003	C	`ed.`	Artificial Neural Networks and Neural Information Processing - ICANN/ICONIP 2003, Joint International Conference ICANN/ICONIP 2003, Istanbul, Turkey, June 26-29, 2003, Proceedings ICANN Okyay Kaynak, Ethem Alpaydin, Erkki Oja, Lei Xu
2003	J	`jnl`	Independent component analysis for artefact separation in astrophysical images. Neural Networks Maria Funaro, Erkki Oja, Harri Valpola
2003	J	`jnl`	Introduction to Special Issue on Independent Components Analysis. J. Mach. Learn. Res. Te-Won Lee, Jean-François Cardoso, Erkki Oja, Shun-ichi Amari
2003	J	`jnl`	Methods for adaptive combination of classifiers with application to recognition of handwritten characters. Int. J. Document Anal. Recognit. Matti Aksela, Ramunas Girdziusas, Jorma Laaksonen, Erkki Oja, Jari Kangas
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	—	`conf`	Class-confidence critic combining. IWFHR Matti Aksela, Ramunas Girdziusas, Jorma Laaksonen, Erkki Oja, Jari Kangas
2002	—	`conf`	Finding Hidden Factors Using Independent Component Analysis. ECML Erkki Oja
2002	—	`conf`	Finding Hidden Factors UsingIndependent Component Analysis. PKDD Erkki Oja
2002	C	`conf`	Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps. ICANN Markus Koskela, Jorma Laaksonen, Erkki Oja
2002	C	`conf`	Independent Component Analisys. HIS Erkki Oja
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`	MPEG-7 Descriptors in Content-Based Image Retrieval with PicSOM System. VISUAL Markus Koskela, Jorma Laaksonen, Erkki Oja
2002	J	`jnl`	PicSOM-self-organizing image retrieval with MPEG-7 content descriptors. IEEE Trans. Neural Networks Jorma Laaksonen, Markus Koskela, Erkki Oja
2002	J	`jnl`	Statistical Shape Features for Content-Based Image Retrieval. J. Math. Imaging Vis. Sami S. Brandt, Jorma Laaksonen, Erkki Oja
2002	J	`jnl`	Unsupervised learning in neural computation. Theor. Comput. Sci. Erkki Oja
2002	—	`conf`	Using MPEG-7 Descriptors in Image Retrieval with Self-Organizing Maps. ICPR (2) Markus Koskela, Jorma Laaksonen, Erkki Oja
2001	J	`jnl`	Adaptive Algorithm for Blind Separation from Noisy Time-Varying Mixtures. Neural Comput. Visa Koivunen, Mihai Enescu, Erkki Oja
2001	—	`conf`	Application of Adaptive Committee Classifiers in On-Line Character Recognition. ICAPR Matti Aksela, Jorma Laaksonen, Erkki Oja, Jari Kangas
2001	J	`jnl`	Experiments with adaptation strategies for a prototype-based recognition system for isolated handwritten characters. Int. J. Document Anal. Recognit. Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas
2001	—	`book`	Independent Component Analysis Aapo Hyvärinen, Juha Karhunen, Erkki Oja
2001	A	`conf`	Rejection Methods for an Adaptive Committee Classifier. ICDAR Matti Aksela, Jorma Laaksonen, Erkki Oja, Jari Kangas
2001	J	`jnl`	Self-Organising Maps as a Relevance Feedback Technique in Content-Based Image Retrieval. Pattern Anal. Appl. Jorma Laaksonen, Markus Koskela, Sami Laakso, Erkki Oja
2001	—	`conf`	Self-Organizing Maps of Web Link Information. WSOM Sami Laakso, Jorma Laaksonen, Markus Koskela, Erkki Oja
2001	A	`conf`	Speeding Up On-line Recognition of Handwritten Characters by Pruning the Prototype Set. ICDAR Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas
2001	J	`jnl`	Texture discrimination with multidimensional distributions of signed gray-level differences. Pattern Recognit. Timo Ojala, Kimmo Valkealahti, Erkki Oja, Matti Pietikäinen
2000	B	`conf`	Controlling On-Line Adaptation of a Prototype-Based Classifier for Handwritten Characters. ICPR Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas
2000	—	`conf`	Evaluating the Performance of Content-Based Image Retrieval Systems. VISUAL Markus Koskela, Jorma Laaksonen, Sami Laakso, Erkki Oja
2000	J	`jnl`	Independence: a new criterion for the analysis of the electromagnetic fields in the global brain? Neural Networks Ricardo Vigário, Erkki Oja
2000	J	`jnl`	Independent component analysis: algorithms and applications. Neural Networks Aapo Hyvärinen, Erkki Oja
2000	J	`jnl`	Independent component approach to the analysis of EEG and MEG recordings. IEEE Trans. Biomed. Eng. Ricardo Vigário, Jaakko Särelä, V. Jousmiki, Matti Hämäläinen, Erkki Oja
2000	J	`jnl`	PicSOM - content-based image retrieval with self-organizing maps. Pattern Recognit. Lett. Jorma Laaksonen, Markus Koskela, Sami Laakso, Erkki Oja
2000	B	`conf`	Statistical Shape Features in Content-Based Image Retrieval. ICPR Sami S. Brandt, Jorma Laaksonen, Erkki Oja
1999	B	`conf`	A comparison of neural ICA algorithms using real-world data. IJCNN Xavier Giannakopoulos, Juha Karhunen, Erkki Oja
1999	B	`conf`	A fast algorithm for estimating overcomplete ICA bases for image windows. IJCNN Aapo Hyvärinen, Razvan Cristescu, Erkki Oja
1999	B	`conf`	Adaptive local subspace classifier in on-line recognition of handwritten characters. IJCNN Jorma Laaksonen, Matti Aksela, Erkki Oja, Jari Kangas
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	—	`conf`	Content-Based Image Retrieval Using Self-Organizing Maps. VISUAL Jorma Laaksonen, Markus Koskela, Erkki Oja
1999	B	`conf`	Data analysis, visualization, and hidden factor discovery by unsupervised learning. IJCNN Erkki Oja, Kimmo Kiviluoto
1999	A	`conf`	Dynamically Expanding Context as Committee Adaptation Method in On-Line Recognition of Handwritten Latin Characters. ICDAR Jorma Laaksonen, Matti Aksela, Erkki Oja, Jari Kangas
1999	J	`jnl`	Image Feature Extraction and Denoising by Sparse Coding. Pattern Anal. Appl. Erkki Oja, Aapo Hyvärinen, Patrik O. Hoyer
1999	—	`conf`	Independent Component Analysis of Human Brain Waves. IWANN (2) Ricardo Vigário, Erkki Oja
1999	A	`conf`	On-line Adaptation in Recognition of Handwritten Alphanumeric Characters. ICDAR Vuokko Vuori, Jorma Laaksonen, Erkki Oja, Jari Kangas
1999	B	`conf`	PicSOM: self-organizing maps for content-based image retrieval. IJCNN Jorma Laaksonen, Markus Koskela, Erkki Oja
1998	—	`conf`	Blind separation from ε-contaminated mixtures. EUSIPCO Visa Koivunen, Petteri Pajunen, Juha Karhunen, Erkki Oja
1998	J	`jnl`	From neural learning to independent components. Neurocomputing Erkki Oja
1998	B	`conf`	Image feature extraction by sparse coding and independent component analysis. ICPR Aapo Hyvärinen, Erkki Oja, Patrik O. Hoyer, Jarmo Hurri
1998	B	`conf`	Independent Component Analysis for Parallel Financial Time Series. ICONIP Kimmo Kiviluoto, Erkki Oja
1998	J	`jnl`	Independent component analysis by general nonlinear Hebbian-like learning rules. Signal Process. Aapo Hyvärinen, Erkki Oja
1998	J	`jnl`	Learning Subspace Classifiers and Error-Corrective Feature Extraction. Int. J. Pattern Recognit. Artif. Intell. Jorma Laaksonen, Erkki Oja
1998	J	`jnl`	Reduced Multidimensional Co-Occurrence Histograms in Texture Classification. IEEE Trans. Pattern Anal. Mach. Intell. Kimmo Valkealahti, Erkki Oja
1998	B	`conf`	Reduced multidimensional histograms in color texture description. ICPR Kimmo Valkealahti, Erkki Oja
1998	B	`conf`	Signal Decomposition by Fast ICA. ICONIP Erkki Oja
1998	—	`conf`	Sparse Code Shrinkage: Denoising by Nonlinear Maximum Likelihood Estimation. NIPS Aapo Hyvärinen, Patrik O. Hoyer, Erkki Oja
1998	J	`jnl`	Texture Classification with Single- and Multiresolution Co-Occurrence Maps. Int. J. Pattern Recognit. Artif. Intell. Kimmo Valkealahti, Erkki Oja
1998	B	`conf`	The Nonlinear PCA Approach to ICA. ICONIP Erkki Oja
1998	J	`jnl`	The nonlinear PCA criterion in blind source separation: Relations with other approaches. Neurocomputing Juha Karhunen, Petteri Pajunen, Erkki Oja
1998	J	`jnl`	Visual feature analysis by the self-organising maps. Neural Comput. Appl. Teuvo Kohonen, Erkki Oja
1997	J	`jnl`	A Fast Fixed-Point Algorithm for Independent Component Analysis. Neural Comput. Aapo Hyvärinen, Erkki Oja
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	C	`conf`	From Neural Principal Components to Neural Independent Components. ICANN Erkki Oja, Juha Karhunen, Aapo Hyvärinen
1997	—	`conf`	Independent Component Analysis for Identification of Artifacts in Magnetoencephalographic Recordings. NIPS Ricardo Vigário, Veikko Jousmäki, Matti Hämäläinen, Riitta Hari, Erkki Oja
1997	C	`conf`	Local Independent Component Analysis by the Self-Organizing Map. ICANN Erkki Oja, Kimmo Valkealahti
1997	J	`jnl`	Neural and statistical classifiers-taxonomy and two case studies. IEEE Trans. Neural Networks Lasse Holmström, Petri Koistinen, Jorma Laaksonen, Erkki Oja
1997	—	`conf`	S-Map: A Network with a Simple Self-Organization Algorithm for Generative Topographic Mappings. NIPS Kimmo Kiviluoto, Erkki Oja
1997	J	`jnl`	The nonlinear PCA learning rule in independent component analysis. Neurocomputing Erkki Oja
1996	—	`conf`	A neuron that learns to separate one signal from a mixture of independent sources. ICNN Aapo Hyvärinen, Erkki Oja
1996	—	`conf`	Classification with learning k-nearest neighbors. ICNN Jorma Laaksonen, Erkki Oja
1996	J	`jnl`	Co-occurrence map: Quantizing multidimensional texture histograms. Pattern Recognit. Lett. Erkki Oja, Kimmo Valkealahti
1996	J	`jnl`	Engineering applications of the self-organizing map. Proc. IEEE Teuvo Kohonen, Erkki Oja, Olli Simula, Aari Visa, Jari Kangas
1996	J	`jnl`	Houghtool -- A software package for the use of the Hough transform. Pattern Recognit. Lett. Heikki Kälviäinen, Petri Hirvonen, Erkki Oja
1996	J	`jnl`	Neural fitting: Robustness by anti-Hebbian learning. Neurocomputing Erkki Oja, Liuyue Wang
1996	B	`conf`	Neural network and statistical perspectives of classification. ICPR Lasse Holmström, Petri Koistinen, Jorma Laaksonen, Erkki Oja
1996	—	`conf`	One-unit Learning Rules for Independent Component Analysis. NIPS Aapo Hyvärinen, Erkki Oja
1996	C	`conf`	Optimal Texture Feature Selection for the Co-Occurrence Map. ICANN Kimmo Valkealahti, Erkki Oja
1996	J	`jnl`	Robust fitting by nonlinear neural units. Neural Networks Erkki Oja, Liuyue Wang
1996	J	`jnl`	Simple Neuron Models for Independent Component Analysis. Int. J. Neural Syst. Aapo Hyvärinen, Erkki Oja
1996	C	`conf`	Subspace Dimension Selection and Averaged Learning Subspace Method in Handwritten Digit Classification. ICANN Jorma Laaksonen, Erkki Oja
1995	—	`conf`	A bigradient optimization approach for robust PCA, MCA, and source separation. ICNN Liuyue Wang, Juha Karhunen, Erkki Oja
1995	—	`conf`	Compressing higher-order co-occurrences for texture analysis using the self-organizing map. ICNN Erkki Oja, Kimmo Valkealahti
1995	J	`jnl`	Distortion tolerant pattern recognition based on self-organizing feature extraction. IEEE Trans. Neural Networks Jouko Lampinen, Erkki Oja
1995	J	`jnl`	Probabilistic and non-probabilistic Hough transforms: overview and comparisons. Image Vis. Comput. Heikki Kälviäinen, Petri Hirvonen, Lei Xu, Erkki Oja
1994	—	`conf`	Comparisons of Probabilistic and Non-probabilistic Hough Transforms. ECCV (2) Heikki Kälviäinen, Petri Hirvonen, Lei Xu, Erkki Oja
1993	J	`jnl`	Rival penalized competitive learning for clustering analysis, RBF net, and curve detection. IEEE Trans. Neural Networks Lei Xu, Adam Krzyzak, Erkki Oja
1992	J	`jnl`	Clustering properties of hierarchical self-organizing maps. J. Math. Imaging Vis. Jouko Lampinen, Erkki Oja
1992	—	`conf`	Further developments on RHT: basic mechanisms, algorithms, and computational complexities. ICPR (1) Lei Xu, Erkki Oja
1992	J	`jnl`	Modified Hebbian learning for curve and surface fitting. Neural Networks Lei Xu, Erkki Oja, Ching Y. Suen
1992	J	`jnl`	Principal components, minor components, and linear neural networks. Neural Networks Erkki Oja
1992	—	`conf`	Randomized Hough transform applied to translational and rotational motion analysis. ICPR (1) Heikki Kälviäinen, Erkki Oja, Lei Xu
1992	—	`conf`	Unsupervised and supervised classifications by rival penalized competitive learning. ICPR (2) Lei Xu, Adam Krzyzak, Erkki Oja
1991	J	`jnl`	Neural Nets for Dual Subspace Pattern Recognition Method. Int. J. Neural Syst. Lei Xu, Adam Krzyzak, Erkki Oja
1990	J	`jnl`	A new curve detection method: Randomized Hough transform (RHT). Pattern Recognit. Lett. Lei Xu, Erkki Oja, Pekka Kultanen
1990	J	`jnl`	Detecting texture periodicity from the cooccurrence matrix. Pattern Recognit. Lett. Jussi Parkkinen, K. Selkäinaho, Erkki Oja
1990	—	`conf`	Improved Simulated Annealing, Boltzmann Machine, and Attributed Graph Matching. EURASIP Workshop Lei Xu, Erkki Oja
1990	Misc	`conf`	Randomized Hough Transform (RHT) in Engineering Drawing Vectorization System. MVA Pekka Kultanen, Erkki Oja, Lei Xu
1990	—	`conf`	Randomized Hough transform (RHT). ICPR (1) Pekka Kultanen, Lei Xu, Erkki Oja
1990	B	`conf`	Self-organizing hierarchical feature maps. IJCNN Pasi Koikkalainen, Erkki Oja
1989	—	`conf`	Fast Computation of Kohonen Self-Organization. NATO Neurocomputing Jouko Lampinen, Erkki Oja
1989	J	`jnl`	Neural Networks, Principal Components, and Subspaces. Int. J. Neural Syst. Erkki Oja
1988	—	`conf`	Color analysis by learning subspaces and optical processing. ICNN Jussi Parkkinen, Erkki Oja, Timo Jääskeläinen
1988	B	`conf`	Comparison of χ ICPR K. Selkäinaho, Jussi Parkkinen, Erkki Oja
1988	—	`conf`	Specification and implementation environment for neural networks using communicating sequential processes. ICNN Pasi Koikkalainen, Erkki Oja
1988	—	`conf`	The subspace learning algorithm as a formalism for pattern recognition and neural networks. ICNN Erkki Oja, Teuvo Kohonen
1986	Misc	`conf`	A fast local PPF restoration filter. ICASSP Erkki Oja, Jouko Lampinen
1986	J	`jnl`	Parametric projection filter for image and signal restoration. IEEE Trans. Acoust. Speech Signal Process. Erkki Oja, Hidemitsu Ogawa
1983	J	`jnl`	The ALSM algorithm - an improved subspace method of classification. Pattern Recognit. Erkki Oja, Maija Kuusela
1979	J	`jnl`	On the Construction of Projectors Using Products of Elementary Matrices. IEEE Trans. Computers Erkki Oja