On the Construction of Projectors Using Products of Elementary Matrices. - Erkki Oja (IEEE Trans. Computers, 1979)

The ALSM algorithm - an improved subspace method of classification. - Erkki Oja; Maija Kuusela (Pattern Recognit., 1983)

A fast local PPF restoration filter. - Erkki Oja; Jouko Lampinen (ICASSP, 1986)

Parametric projection filter for image and signal restoration. - Erkki Oja; Hidemitsu Ogawa (IEEE Trans. Acoust. Speech Signal Process., 1986)

Specification and implementation environment for neural networks using communicating sequential processes. - Pasi Koikkalainen; Erkki Oja (ICNN, 1988)

The subspace learning algorithm as a formalism for pattern recognition and neural networks. - Erkki Oja; Teuvo Kohonen (ICNN, 1988)

Color analysis by learning subspaces and optical processing. - Jussi Parkkinen; Erkki Oja; Timo Jääskeläinen (ICNN, 1988)

Comparison of χ2 and κ statistics in finding signal and picture periodicity. - K. Selkäinaho; Jussi Parkkinen; Erkki Oja (ICPR, 1988)

Fast Computation of Kohonen Self-Organization. - Jouko Lampinen; Erkki Oja (NATO Neurocomputing, 1989)

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

Improved Simulated Annealing, Boltzmann Machine, and Attributed Graph Matching. - Lei Xu 001; Erkki Oja (EURASIP Workshop, 1990)

Randomized Hough transform (RHT). - Pekka Kultanen; Lei Xu 001; Erkki Oja (ICPR (1), 1990)

Self-organizing hierarchical feature maps. - Pasi Koikkalainen; Erkki Oja (IJCNN, 1990)

Randomized Hough Transform (RHT) in Engineering Drawing Vectorization System. - Pekka Kultanen; Erkki Oja; Lei Xu 001 (MVA, 1990)

Detecting texture periodicity from the cooccurrence matrix. - Jussi Parkkinen; K. Selkäinaho; Erkki Oja (Pattern Recognit. Lett., 1990)

A new curve detection method: Randomized Hough transform (RHT). - Lei Xu 001; Erkki Oja; Pekka Kultanen (Pattern Recognit. Lett., 1990)

Neural Nets for Dual Subspace Pattern Recognition Method. - Lei Xu 001; Adam Krzyzak; Erkki Oja (Int. J. Neural Syst., 1991)

Randomized Hough transform applied to translational and rotational motion analysis. - Heikki Kälviäinen; Erkki Oja; Lei Xu 001 (ICPR (1), 1992)

Unsupervised and supervised classifications by rival penalized competitive learning. - Lei Xu 001; Adam Krzyzak; Erkki Oja (ICPR (2), 1992)

Further developments on RHT: basic mechanisms, algorithms, and computational complexities. - Lei Xu 001; Erkki Oja (ICPR (1), 1992)

Clustering properties of hierarchical self-organizing maps. - Jouko Lampinen; Erkki Oja (J. Math. Imaging Vis., 1992)

Principal components, minor components, and linear neural networks. - Erkki Oja (Neural Networks, 1992)

Modified Hebbian learning for curve and surface fitting. - Lei Xu 001; Erkki Oja; Ching Y. Suen (Neural Networks, 1992)

Rival penalized competitive learning for clustering analysis, RBF net, and curve detection. - Lei Xu 001; Adam Krzyzak; Erkki Oja (IEEE Trans. Neural Networks, 1993)

Comparisons of Probabilistic and Non-probabilistic Hough Transforms. - Heikki Kälviäinen; Petri Hirvonen; Lei Xu 001; Erkki Oja (ECCV (2), 1994)

Compressing higher-order co-occurrences for texture analysis using the self-organizing map. - Erkki Oja; Kimmo Valkealahti (ICNN, 1995)

A bigradient optimization approach for robust PCA, MCA, and source separation. - Liuyue Wang; Juha Karhunen; Erkki Oja (ICNN, 1995)

Probabilistic and non-probabilistic Hough transforms: overview and comparisons. - Heikki Kälviäinen; Petri Hirvonen; Lei Xu 001; Erkki Oja (Image Vis. Comput., 1995)

Distortion tolerant pattern recognition based on self-organizing feature extraction. - Jouko Lampinen; Erkki Oja (IEEE Trans. Neural Networks, 1995)

Subspace Dimension Selection and Averaged Learning Subspace Method in Handwritten Digit Classification. - Jorma Laaksonen; Erkki Oja (ICANN, 1996)

Optimal Texture Feature Selection for the Co-Occurrence Map. - Kimmo Valkealahti; Erkki Oja (ICANN, 1996)

A neuron that learns to separate one signal from a mixture of independent sources. - Aapo Hyvärinen; Erkki Oja (ICNN, 1996)

Classification with learning k-nearest neighbors. - Jorma Laaksonen; Erkki Oja (ICNN, 1996)

Neural network and statistical perspectives of classification. - Lasse Holmström; Petri Koistinen; Jorma Laaksonen; Erkki Oja (ICPR, 1996)

One-unit Learning Rules for Independent Component Analysis. - Aapo Hyvärinen; Erkki Oja (NIPS, 1996)

Simple Neuron Models for Independent Component Analysis. - Aapo Hyvärinen; Erkki Oja (Int. J. Neural Syst., 1996)

Neural fitting: Robustness by anti-Hebbian learning. - Erkki Oja; Liuyue Wang (Neurocomputing, 1996)

Robust fitting by nonlinear neural units. - Erkki Oja; Liuyue Wang (Neural Networks, 1996)

Engineering applications of the self-organizing map. - Teuvo Kohonen; Erkki Oja; Olli Simula; Aari Visa; Jari Kangas 001 (Proc. IEEE, 1996)

Houghtool – A software package for the use of the Hough transform. - Heikki Kälviäinen; Petri Hirvonen; Erkki Oja (Pattern Recognit. Lett., 1996)

Co-occurrence map: Quantizing multidimensional texture histograms. - Erkki Oja; Kimmo Valkealahti (Pattern Recognit. Lett., 1996)

From Neural Principal Components to Neural Independent Components. - Erkki Oja; Juha Karhunen; Aapo Hyvärinen (ICANN, 1997)

Local Independent Component Analysis by the Self-Organizing Map. - Erkki Oja; Kimmo Valkealahti (ICANN, 1997)

Applications of neural blind separation to signal and image processing. - Juha Karhunen; Aapo Hyvärinen; Ricardo Vigário; Jarmo Hurri; Erkki Oja (ICASSP, 1997)

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

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

The nonlinear PCA learning rule in independent component analysis. - Erkki Oja (Neurocomputing, 1997)

A Fast Fixed-Point Algorithm for Independent Component Analysis. - Aapo Hyvärinen; Erkki Oja (Neural Comput., 1997)

Neural and statistical classifiers-taxonomy and two case studies. - Lasse Holmström; Petri Koistinen; Jorma Laaksonen; Erkki Oja (IEEE Trans. Neural Networks, 1997)

A class of neural networks for independent component analysis. - Juha Karhunen; Erkki Oja; Liuyue Wang; Ricardo Vigário; Jyrki Joutsensalo (IEEE Trans. Neural Networks, 1997)

Blind separation from ε-contaminated mixtures. - Visa Koivunen; Petteri Pajunen; Juha Karhunen; Erkki Oja (EUSIPCO, 1998)

Independent Component Analysis for Parallel Financial Time Series. - Kimmo Kiviluoto; Erkki Oja (ICONIP, 1998)

Signal Decomposition by Fast ICA. - Erkki Oja (ICONIP, 1998)

The Nonlinear PCA Approach to ICA. - Erkki Oja (ICONIP, 1998)

Image feature extraction by sparse coding and independent component analysis. - Aapo Hyvärinen; Erkki Oja; Patrik O. Hoyer; Jarmo Hurri (ICPR, 1998)

Reduced multidimensional histograms in color texture description. - Kimmo Valkealahti; Erkki Oja (ICPR, 1998)

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

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

From neural learning to independent components. - Erkki Oja (Neurocomputing, 1998)

Learning Subspace Classifiers and Error-Corrective Feature Extraction. - Jorma Laaksonen; Erkki Oja (Int. J. Pattern Recognit. Artif. Intell., 1998)

Texture Classification with Single- and Multiresolution Co-Occurrence Maps. - Kimmo Valkealahti; Erkki Oja (Int. J. Pattern Recognit. Artif. Intell., 1998)

Visual feature analysis by the self-organising maps. - Teuvo Kohonen; Erkki Oja (Neural Comput. Appl., 1998)

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

Independent component analysis by general nonlinear Hebbian-like learning rules. - Aapo Hyvärinen; Erkki Oja (Signal Process., 1998)

Dynamically Expanding Context as Committee Adaptation Method in On-Line Recognition of Handwritten Latin Characters. - Jorma Laaksonen; Matti Aksela; Erkki Oja; Jari Kangas 001 (ICDAR, 1999)

On-line Adaptation in Recognition of Handwritten Alphanumeric Characters. - Vuokko Vuori; Jorma Laaksonen; Erkki Oja; Jari Kangas 001 (ICDAR, 1999)

A comparison of neural ICA algorithms using real-world data. - Xavier Giannakopoulos; Juha Karhunen; Erkki Oja (IJCNN, 1999)

A fast algorithm for estimating overcomplete ICA bases for image windows. - Aapo Hyvärinen; Razvan Cristescu; Erkki Oja (IJCNN, 1999)

Adaptive local subspace classifier in on-line recognition of handwritten characters. - Jorma Laaksonen; Matti Aksela; Erkki Oja; Jari Kangas 001 (IJCNN, 1999)

PicSOM: self-organizing maps for content-based image retrieval. - Jorma Laaksonen; Markus Koskela; Erkki Oja (IJCNN, 1999)

Data analysis, visualization, and hidden factor discovery by unsupervised learning. - Erkki Oja; Kimmo Kiviluoto (IJCNN, 1999)

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

Content-Based Image Retrieval Using Self-Organizing Maps. - Jorma Laaksonen; Markus Koskela; Erkki Oja (VISUAL, 1999)

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

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

Controlling On-Line Adaptation of a Prototype-Based Classifier for Handwritten Characters. - Vuokko Vuori; Jorma Laaksonen; Erkki Oja; Jari Kangas 001 (ICPR, 2000)

Evaluating the Performance of Content-Based Image Retrieval Systems. - Markus Koskela; Jorma Laaksonen; Sami Laakso; Erkki Oja (VISUAL, 2000)

Independent component analysis: algorithms and applications. - Aapo Hyvärinen; Erkki Oja (Neural Networks, 2000)

Independence: a new criterion for the analysis of the electromagnetic fields in the global brain? - Ricardo Vigário; Erkki Oja (Neural Networks, 2000)

PicSOM - content-based image retrieval with self-organizing maps. - Jorma Laaksonen; Markus Koskela; Sami Laakso; Erkki Oja (Pattern Recognit. Lett., 2000)

Independent component approach to the analysis of EEG and MEG recordings. - Ricardo Vigário; Jaakko Särelä; V. Jousmiki; Matti Hämäläinen; Erkki Oja (IEEE Trans. Biomed. Eng., 2000)

Independent Component Analysis - Aapo Hyvärinen; Juha Karhunen; Erkki Oja (Wiley, 2001)

Application of Adaptive Committee Classifiers in On-Line Character Recognition. - Matti Aksela; Jorma Laaksonen; Erkki Oja; Jari Kangas 001 (ICAPR, 2001)

Rejection Methods for an Adaptive Committee Classifier. - Matti Aksela; Jorma Laaksonen; Erkki Oja; Jari Kangas 001 (ICDAR, 2001)

Speeding Up On-line Recognition of Handwritten Characters by Pruning the Prototype Set. - Vuokko Vuori; Jorma Laaksonen; Erkki Oja; Jari Kangas 001 (ICDAR, 2001)

Self-Organizing Maps of Web Link Information. - Sami Laakso; Jorma Laaksonen; Markus Koskela; Erkki Oja (WSOM, 2001)

Experiments with adaptation strategies for a prototype-based recognition system for isolated handwritten characters. - Vuokko Vuori; Jorma Laaksonen; Erkki Oja; Jari Kangas 001 (Int. J. Document Anal. Recognit., 2001)

Adaptive Algorithm for Blind Separation from Noisy Time-Varying Mixtures. - Visa Koivunen; Mihai Enescu; Erkki Oja (Neural Comput., 2001)

Self-Organising Maps as a Relevance Feedback Technique in Content-Based Image Retrieval. - Jorma Laaksonen; Markus Koskela; Sami Laakso; Erkki Oja (Pattern Anal. Appl., 2001)

Texture discrimination with multidimensional distributions of signed gray-level differences. - Timo Ojala; Kimmo Valkealahti; Erkki Oja; Matti Pietikäinen (Pattern Recognit., 2001)

Finding Hidden Factors Using Independent Component Analysis. - Erkki Oja (ECML, 2002)

Independent Component Analisys. - Erkki Oja (HIS, 2002)

Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps. - Markus Koskela; Jorma Laaksonen; Erkki Oja (ICANN, 2002)

Class-confidence critic combining. - Matti Aksela; Ramunas Girdziusas; Jorma Laaksonen; Erkki Oja; Jari Kangas 001 (IWFHR, 2002)

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

Jammer cancellation in DS-CDMA arrays: pre and post switching of ICA and RAKE. - Tapani Ristaniemi; Karthikesh Raju; Juha Karhunen; Erkki Oja (NNSP, 2002)

Finding Hidden Factors UsingIndependent Component Analysis. - Erkki Oja (PKDD, 2002)

MPEG-7 Descriptors in Content-Based Image Retrieval with PicSOM System. - Markus Koskela; Jorma Laaksonen; Erkki Oja (VISUAL, 2002)

Statistical Shape Features for Content-Based Image Retrieval. - Sami S. Brandt; Jorma Laaksonen; Erkki Oja (J. Math. Imaging Vis., 2002)

Unsupervised learning in neural computation. - Erkki Oja (Theor. Comput. Sci., 2002)

PicSOM-self-organizing image retrieval with MPEG-7 content descriptors. - Jorma Laaksonen; Markus Koskela; Erkki Oja (IEEE Trans. Neural Networks, 2002)

Nonlinear Blind Source Separation by Variational Bayesian Learning. - Harri Valpola; Erkki Oja; Alexander Ilin; Antti Honkela; Juha Karhunen (IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2003)

Methods for adaptive combination of classifiers with application to recognition of handwritten characters. - Matti Aksela; Ramunas Girdziusas; Jorma Laaksonen; Erkki Oja; Jari Kangas 001 (Int. J. Document Anal. Recognit., 2003)

Introduction to Special Issue on Independent Components Analysis. - Te-Won Lee; Jean-François Cardoso; Erkki Oja; Shun-ichi Amari (J. Mach. Learn. Res., 2003)

Independent component analysis for artefact separation in astrophysical images. - Maria Funaro; Erkki Oja; Harri Valpola (Neural Networks, 2003)

Use of Image Subset Features in Image Retrieval with Self-Organizing Maps. - Markus Koskela; Jorma Laaksonen; Erkki Oja (CIVR, 2004)

Task-Based User Evaluation of Content-Based Image Database Browsing Systems. - Timo Ojala; Markus Koskela; Esa Matinmikko; Mika Rautiainen; Jorma Laaksonen; Erkki Oja (CIVR, 2004)

A FastICA Algorithm for Non-negative Independent Component Analysis. - Zhijian Yuan; Erkki Oja (ICA, 2004)

Applications of Independent Component Analysis. - Erkki Oja (ICONIP, 2004)

Entropy-Based Measures for Clustering and SOM Topology Preservation Applied to Content-Based Image Indexing and Retrieval. - Markus Koskela; Jorma Laaksonen; Erkki Oja (ICPR (2), 2004)

Asymmetric multiagent reinforcement learning in pricing applications. - Ville Könönen; Erkki Oja (IJCNN, 2004)

Patterns, clusters, and components - what data is made of. - Erkki Oja (IJCNN, 2004)

Finding Clusters and Components by Unsupervised Learning. - Erkki Oja (SSPR/SPR, 2004)

Blind Separation of Positive Sources by Globally Convergent Gradient Search. - Erkki Oja; Mark D. Plumbley (Neural Comput., 2004)

Class distributions on SOM surfaces for feature extraction and object retrieval. - Jorma Laaksonen; Markus Koskela; Erkki Oja (Neural Networks, 2004)

The Evolving Tree - A Novel Self-Organizing Network for Data Analysis. - Jussi Pakkanen; Jukka Iivarinen; Erkki Oja (Neural Process. Lett., 2004)

Independent component analysis and beyond. - Erkki Oja; Stefan Harmeling; Luís B. Almeida (Signal Process., 2004)

Nonlinear dynamical factor analysis for state change detection. - Alexander Ilin; Harri Valpola; Erkki Oja (IEEE Trans. Neural Networks, 2004)

A "nonnegative PCA" algorithm for independent component analysis. - Mark D. Plumbley; Erkki Oja (IEEE Trans. Neural Networks, 2004)

Guest Editorial Special Issue on Information Theoretic Learning. - José Carlos Príncipe; Erkki Oja; Lei Xu 001; Andrzej Cichocki; Deniz Erdogmus (IEEE Trans. Neural Networks, 2004)

Cramer-Rao lower bound for linear independent component analysis. - Zbynek Koldovský; Petr Tichavský; Erkki Oja (ICASSP (3), 2005)

Semiblind source separation of climate data detects El Nino as the component with the highest interannual variability. - Alexander Ilin; Harri Valpola; Erkki Oja (IJCNN, 2005)

The evolving tree, a hierarchical tool for unsupervised data analysis. - Jussi Pakkanen; Jukka livarinen; Erkki Oja (IJCNN, 2005)

Projective Nonnegative Matrix Factorization for Image Compression and Feature Extraction. - Zhijian Yuan; Erkki Oja (SCIA, 2005)

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

Average Convergence Behavior of the FastICA Algorithm for Blind Source Separation. - Scott C. Douglas; Zhijian Yuan; Erkki Oja (ICA, 2006)

Extraction of Components with Structured Variance. - Alexander Ilin; Harri Valpola; Erkki Oja (IJCNN, 2006)

Exploratory analysis of climate data using source separation methods. - Alexander Ilin; Harri Valpola; Erkki Oja (Neural Networks, 2006)

Efficient Variant of Algorithm FastICA for Independent Component Analysis Attaining the CramÉr-Rao Lower Bound. - Zbynek Koldovský; Petr Tichavský; Erkki Oja (IEEE Trans. Neural Networks, 2006)

The FastICA Algorithm Revisited: Convergence Analysis. - Erkki Oja; Zhijian Yuan (IEEE Trans. Neural Networks, 2006)

The evolving tree-analysis and applications. - Jussi Pakkanen; Jukka Iivarinen; Erkki Oja (IEEE Trans. Neural Networks, 2006)

Performance analysis of the FastICA algorithm and Cramér-rao bounds for linear independent component analysis. - Petr Tichavský; Zbynek Koldovský; Erkki Oja (IEEE Trans. Signal Process., 2006)

Jammer suppression in DS-CDMA arrays using independent component analysis. - Karthikesh Raju; Tapani Ristaniemi; Juha Karhunen; Erkki Oja (IEEE Trans. Wirel. Commun., 2006)

Speed and Accuracy Enhancement of Linear ICA Techniques Using Rational Nonlinear Functions. - Petr Tichavský; Zbynek Koldovský; Erkki Oja (ICA, 2007)

A family of modified projective Nonnegative Matrix Factorization algorithms. - Zhijian Yuan; Erkki Oja (ISSPA, 2007)

Time series prediction competition: The CATS benchmark. - Amaury Lendasse; Erkki Oja; Olli Simula; Michel Verleysen (Neurocomputing, 2007)

Oja learning rule. - Erkki Oja (Scholarpedia, 2008)

Corrections to "Performance Analysis of the FastICA Algorithm and CramÉr-Rao Bounds for Linear Independent Component Analysis". - Petr Tichavský; Zbynek Koldovský; Erkki Oja (IEEE Trans. Signal Process., 2008)

Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction. - Mark van Heeswijk; Yoan Miche; Tiina Lindh-Knuutila; Peter A. J. Hilbers; Timo Honkela; Erkki Oja; Amaury Lendasse (ICANN (2), 2009)

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

Heavy-Tailed Symmetric Stochastic Neighbor Embedding. - Zhirong Yang; Irwin King; Zenglin Xu; Erkki Oja (NIPS, 2009)

Randomized Hough Transform. - Lei Xu 001; Erkki Oja (Encyclopedia of Artificial Intelligence, 2009)

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

Automatic Rank Determination in Projective Nonnegative Matrix Factorization. - Zhirong Yang; Zhanxing Zhu; Erkki Oja (LVA/ICA, 2010)

Extending Self-Organizing Maps with uncertainty information of probabilistic PCA. - Dusan Sovilj; Tapani Raiko; Erkki Oja (IJCNN, 2010)

Linear and nonlinear projective nonnegative matrix factorization. - Zhirong Yang; Erkki Oja (IEEE Trans. Neural Networks, 2010)

Kullback-Leibler Divergence for Nonnegative Matrix Factorization. - Zhirong Yang; He Zhang 009; Zhijian Yuan; Erkki Oja (ICANN (1), 2011)

Effect of Dimensionality Reduction on Different Distance Measures in Document Clustering. - Mari-Sanna Paukkeri; Ilkka Kivimäki; Santosh Tirunagari; Erkki Oja; Timo Honkela (ICONIP (3), 2011)

A Multimodal Information Collector for Content-Based Image Retrieval System. - He Zhang 009; Mats Sjöberg; Jorma Laaksonen; Erkki Oja (ICONIP (3), 2011)

Non-Gaussian component analysis using Density Gradient Covariance matrix. - Nima Reyhani; Erkki Oja (IJCNN, 2011)

PicSOM Experiments in TRECVID 2011. - Mats Sjöberg; Satoru Ishikawa; Markus Koskela; Jorma Laaksonen; Erkki Oja (TRECVID, 2011)

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

Unified Development of Multiplicative Algorithms for Linear and Quadratic Nonnegative Matrix Factorization. - Zhirong Yang; Erkki Oja (IEEE Trans. Neural Networks, 2011)

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

Pairwise Clustering with t-PLSI. - He Zhang 009; Tele Hao; Zhirong Yang; Erkki Oja (ICANN (2), 2012)

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

Online Projective Nonnegative Matrix Factorization for Large Datasets. - Zhirong Yang; He Zhang 009; Erkki Oja (ICONIP (3), 2012)

Adaptive Multiplicative Updates for Projective Nonnegative Matrix Factorization. - He Zhang 009; Zhirong Yang; Erkki Oja (ICONIP (3), 2012)

Clustering by Nonnegative Matrix Factorization Using Graph Random Walk. - Zhirong Yang; Tele Hao; Onur Dikmen; Xi Chen 017; Erkki Oja (NIPS, 2012)

PicSOM Experiments in TRECVID 2012. - Mats Sjöberg; Satoru Ishikawa; Markus Koskela; Jorma Laaksonen; Erkki Oja (TRECVID, 2012)

Quadratic nonnegative matrix factorization. - Zhirong Yang; Erkki Oja (Pattern Recognit., 2012)

Consistency and asymptotic normality of FastICA and bootstrap FastICA. - Nima Reyhani; Jarkko Ylipaavalniemi; Ricardo Vigário; Erkki Oja (Signal Process., 2012)

Predicting Emotional States of Images Using Bayesian Multiple Kernel Learning. - He Zhang 009; Mehmet Gönen; Zhirong Yang; Erkki Oja (ICONIP (3), 2013)

Affective Abstract Image Classification and Retrieval Using Multiple Kernel Learning. - He Zhang 009; Zhirong Yang; Mehmet Gönen; Markus Koskela; Jorma Laaksonen; Timo Honkela; Erkki Oja (ICONIP (3), 2013)

Multiplicative Updates for Learning with Stochastic Matrices. - Zhanxing Zhu; Zhirong Yang; Erkki Oja (SCIA, 2013)

PicSOM Experiments in TRECVID 2013. - Satoru Ishikawa; Markus Koskela; Mats Sjöberg; Jorma Laaksonen; Erkki Oja; Ehsan Amid; Kalle J. Palomäki; Annamaria Mesaros; Mikko Kurimo (TRECVID, 2013)

IEEE Fellows' Class of 2013 [Society Briefs]. - Erkki Oja (IEEE Comput. Intell. Mag., 2013)

Medical Document Mining Combining Image Exploration and Text Characterization. - Nicolau Gonçalves; Erkki Oja; Ricardo Vigário (Discovery Science, 2014)

PicSOM Experiments in TRECVID 2014. - Satoru Ishikawa; Markus Koskela; Mats Sjöberg; Rao Muhammad Anwer; Jorma Laaksonen; Erkki Oja (TRECVID, 2014)

Adaptive multiplicative updates for quadratic nonnegative matrix factorization. - He Zhang 009; Zhirong Yang; Erkki Oja (Neurocomputing, 2014)

Improving cluster analysis by co-initializations. - He Zhang 009; Zhirong Yang; Erkki Oja (Pattern Recognit. Lett., 2014)

Optimizing the Information Retrieval Trade-off in Data Visualization Using $α$-Divergence. - Ehsan Amid; Onur Dikmen; Erkki Oja (CoRR, 2015)

Understanding emotional impact of images using Bayesian multiple kernel learning. - He Zhang 009; Mehmet Gönen; Zhirong Yang; Erkki Oja (Neurocomputing, 2015)

Learning the Information Divergence. - Onur Dikmen; Zhirong Yang; Erkki Oja (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Low-Rank Doubly Stochastic Matrix Decomposition for Cluster Analysis. - Zhirong Yang; Jukka Corander; Erkki Oja (J. Mach. Learn. Res., 2016)