Erkki Oja | Academic Influence

Erkki Oja's AcademicInfluence.com Rankings

Erkki Oja

Computer Science

#771

World Rank

#797

Historical Rank

Database

#435

World Rank

#457

Historical Rank

computer-science Degrees

Download Badge

Computer Science

Erkki Oja's Degrees

PhD Computer Science University of Helsinki
Masters Mathematics University of Helsinki

Similar Degrees You Can Earn

Best Online PhD of Computer Science (Doctorates) 2025

Why Is Erkki Oja Influential?

(Suggest an Edit or Addition)

According to Wikipedia, Erkki Oja is a Finnish computer scientist and Aalto Distinguished Professor in the Department of Information and Computer Science at Aalto University School of Science. He is recognized for developing Oja's rule, which is a model of how neurons in the brain or in artificial neural networks learn over time.

(See a Problem?)

Erkki Oja's Published Works

Number of citations in a given year to any of this author's works

Total number of citations to an author for the works they published in a given year. This highlights publication of the most important work(s) by the author

Published Works

Independent component analysis: algorithms and applications (2000) (8083)
Independent Component Analysis (2001) (4123)
Simplified neuron model as a principal component analyzer (1982) (2456)
A Fast Fixed-Point Algorithm for Independent Component Analysis (1997) (1670)
A new curve detection method: Randomized Hough transform (RHT) (1990) (1092)
Neural Networks, Principal Components, and Subspaces (1989) (926)
Principal components, minor components, and linear neural networks (1992) (874)
Engineering applications of the self-organizing map (1996) (853)
Subspace methods of pattern recognition (1983) (841)
Independent component approach to the analysis of EEG and MEG recordings (2000) (785)
Rival penalized competitive learning for clustering analysis, RBF net, and curve detection (1993) (654)
On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix (1985) (590)
Randomized hough transform (rht) : Basic mech-anisms, algorithms, and computational complexities (1993) (489)
A class of neural networks for independent component analysis (1997) (456)
Independent Component Analysis for Identification of Artifacts in Magnetoencephalographic Recordings (1997) (286)
Self-organizing hierarchical feature maps (1990) (280)
Independent component analysis by general nonlinear Hebbian-like learning rules (1998) (280)
Texture discrimination with multidimensional distributions of signed gray-level differences (2001) (278)
PicSOM - content-based image retrieval with self-organizing maps (2000) (276)
Efficient Variant of Algorithm FastICA for Independent Component Analysis Attaining the CramÉr-Rao Lower Bound (2006) (264)
Modified Hebbian learning for curve and surface fitting (1992) (262)
The nonlinear PCA learning rule in independent component analysis (1997) (261)
Probabilistic and non-probabilistic Hough transforms: overview and comparisons (1995) (250)
Clustering properties of hierarchical self-organizing maps (1992) (236)
Independent Component Analysis: A Tutorial (1999) (234)
PicSOM-self-organizing image retrieval with MPEG-7 content descriptors (2002) (231)
Linear and Nonlinear Projective Nonnegative Matrix Factorization (2010) (222)
The FastICA Algorithm Revisited: Convergence Analysis (2006) (174)
Projective Nonnegative Matrix Factorization for Image Compression and Feature Extraction (2005) (162)
GPU-accelerated and parallelized ELM ensembles for large-scale regression (2011) (160)
Performance analysis of the FastICA algorithm and Crame/spl acute/r-rao bounds for linear independent component analysis (2006) (159)
Neural and statistical classifiers-taxonomy and two case studies (1997) (141)
Reduced Multidimensional Co-Occurrence Histograms in Texture Classification (1998) (137)
Artificial Neural Networks and Neural Information Processing — ICANN/ICONIP 2003 (2003) (137)
Independent Component Analysis for Parallel Financial Time Series (1998) (130)
A "nonnegative PCA" algorithm for independent component analysis (2004) (128)
Statistical Shape Features for Content-Based Image Retrieval (2000) (122)
Randomized Hough transform (RHT) (1990) (121)
The nonlinear PCA criterion in blind source separation: Relations with other approaches (1998) (118)
Applications of neural blind separation to signal and image processing (1997) (112)
Performance Analysis of the FastICA Algorithm and Cramér – Rao Bounds for Linear Independent Component Analysis (2010) (112)
Storage and Processing of Information in Distributed Associative Memory Systems (1981) (111)
Classification with learning k-nearest neighbors (1996) (110)
Adaptive Ensemble Models of Extreme Learning Machines for Time Series Prediction (2009) (109)
Image feature extraction by sparse coding and independent component analysis (1998) (107)
An Experimental Comparison of Neural Algorithms for Independent Component Analysis and Blind Separation (1999) (105)
Distortion tolerant pattern recognition based on self-organizing feature extraction (1995) (104)
Self-Organising Maps as a Relevance Feedback Technique in Content-Based Image Retrieval (2001) (98)
Time series prediction competition: The CATS benchmark (2007) (98)
PicSOM: self-organizing maps for content-based image retrieval (1999) (97)
Blind Separation of Positive Sources by Globally Convergent Gradient Search (2004) (91)
Signal Separation by Nonlinear Hebbian Learning (1995) (88)
Principal component analysis by homogeneous neural networks, Part I : The weighted subspace criterion (1992) (84)
A fast algorithm for estimating overcomplete ICA bases for image windows (1999) (84)
Clustering by Nonnegative Matrix Factorization Using Graph Random Walk (2012) (84)
BSS and ICA in Neuroinformatics: From Current Practices to Open Challenges (2008) (81)
A theory for the acquisition and loss of neuron specificity in visual cortex (1979) (79)
Unsupervised learning in neural computation (2002) (75)
Sparse Code Shrinkage: Denoising by Nonlinear Maximum Likelihood Estimation (1998) (75)
Fast adaptive formation of orthogonalizing filters and associative memory in recurrent networks of neuron-like elements (1976) (75)
Projection filter, Wiener filter, and Karhunen-Loève subspaces in digital image restoration (1986) (73)
Unified Development of Multiplicative Algorithms for Linear and Quadratic Nonnegative Matrix Factorization (2011) (72)
The Nonlinear PCA Learning Rule and Signal Separation - Mathematical Analysis (1995) (72)
The Evolving Tree—A Novel Self-Organizing Network for Data Analysis (2004) (72)
Randomized Hough Transform (2009) (72)
Artificial Neural Networks: Biological Inspirations - ICANN 2005, 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part I (2005) (71)
Artificial Neural Networks: Formal Models and Their Applications - ICANN 2005, 15th International Conference, Warsaw, Poland, September 11-15, 2005, Proceedings, Part II (2005) (69)
Principal component analysis by homogeneous neural networks, part II: Analysis and extentions of the learning algorithm (1992) (66)
Simple Neuron Models for Independent Component Analysis (1996) (64)
Image Feature Extraction Using Independent Component Analysis (1996) (64)
Independence: a new criterion for the analysis of the electromagnetic fields in the global brain? (2000) (63)
Sparse code shrinkage for image denoising (1998) (62)
One-unit Learning Rules for Independent Component Analysis (1996) (62)
Detecting texture periodicity from the cooccurrence matrix (1990) (62)
A bigradient optimization approach for robust PCA, MCA, and source separation (1995) (60)
Estimation of ECHAM5 climate model closure parameters with adaptive MCMC (2010) (59)
Independent component analysis for financial time series (2000) (57)
Self-Organizing Maps for Spatial and Temporal AR Models (1989) (56)
Heavy-Tailed Symmetric Stochastic Neighbor Embedding (2009) (53)
BLIND SEPARATION OF POSITIVE SOURCES USING NON-NEGATIVE PC A (2003) (51)
Principal and Independent Components in Neural Networks - Recent Developments (1995) (50)
The subspace learning algorithm as a formalism for pattern recognition and neural networks (1988) (50)
Analyzing Low-Level Visual Features Using Content-Based Image Retrieval (2000) (50)
Parametric projection filter for image and signal restoration (1986) (50)
Experiments with adaptation strategies for a prototype-based recognition system for isolated handwritten characters (2001) (48)
Nonlinear Blind Source Separation by Variational Bayesian Learning (2003) (47)
On-line recognition of handwritten characters (47)
The ALSM algorithm - an improved subspace method of classification (1983) (46)
Comparisons of Probabilistic and Non-probabilistic Hough Transforms (1994) (45)
Jammer suppression in DS-CDMA arrays using independent component analysis (2006) (45)
Speed and Accuracy Enhancement of Linear ICA Techniques Using Rational Nonlinear Functions (2007) (44)
On closure parameter estimation in chaotic systems (2012) (43)
Independent component analysis for artefact separation in astrophysical images (2003) (43)
Use of Image Subset Features in Image Retrieval with Self-Organizing Maps (2004) (42)
Improved Simulated Annealing, Boltzmann Machine, and Attributed Graph Matching (1990) (41)
Optical scatterometry of subwavelength diffraction gratings: neural-network approach. (1998) (41)
Class distributions on SOM surfaces for feature extraction and object retrieval (2004) (40)
Quadratic nonnegative matrix factorization (2012) (40)
Neural Nets for Dual Subspace Pattern Recognition Method (1991) (38)
Fast self-organization by the probing algorithm (1989) (38)
Subspace Dimension Selection and Averaged Learning Subspace Method in Handwritten Digit Classification (1996) (37)
Clustering by Low-Rank Doubly Stochastic Matrix Decomposition (2012) (37)
Kullback-Leibler Divergence for Nonnegative Matrix Factorization (2011) (36)
On-line adaptation in recognition of handwritten alphanumeric characters (1999) (36)
An Experimental Comparison of Neural ICA Algorithms (1998) (36)
Unsupervised and supervised classifications by rival penalized competitive learning (1992) (35)
Nonlinear PCA: Algorithms and Applications (1993) (35)
Learning the Information Divergence (2014) (35)
Independent Component Analysis in Wave Decomposition of Auditory Evoked Fields (1998) (34)
The PicSOM Retrieval System: Description and Evaluations (2000) (33)
Nonlinear dynamical factor analysis for state change detection (2004) (32)
Robust fitting by nonlinear neural units (1996) (31)
Content-Based Image Retrieval Using Self-Organizing Maps (1999) (31)
A FastICA Algorithm for Non-negative Independent Component Analysis (2004) (30)
Randomized Hough transform applied to translational and rotational motion analysis (1992) (29)
PicSOM - A Framework for Content-Based Image Database Retrieval using Self-Organizing Maps (1999) (28)
S-Map: A Network with a Simple Self-Organization Algorithm for Generative Topographic Mappings (1997) (27)
Exploratory analysis of climate data using source separation methods (2006) (27)
Corrections to "Performance Analysis of the FastICA Algorithm and Cram´ er-Rao Bounds for Linear Independent Component Analysis", TSP 04/06 (2007) (27)
Image Feature Extraction and Denoising by Sparse Coding (1999) (26)
Adaptive Algorithm for Blind Separation from Noisy Time-Varying Mixtures (2001) (26)
Speeding up on-line recognition of handwritten characters by pruning the prototype set (2001) (25)
Self-Organizing Maps for Content-Based Image Database Retrieval (1999) (25)
Houghtool -- A software package for the use of the Hough transform (1996) (24)
COMPARISON OF TECHNIQUES FOR CONTENT-BASED IMAGE RETRIEVAL (2001) (24)
The evolving tree-analysis and applications (2006) (23)
Co-occurrence map: Quantizing multidimensional texture histograms (1996) (23)
Unsupervised Learning for Feature Extraction (1994) (23)
Oja learning rule (2008) (21)
Applications of Independent Component Analysis (2004) (21)
Characterization of diffraction gratings in a rigorous domain with optical scatterometry: hierarchical neural-network model. (1999) (21)
Visual feature analysis by the self-organising maps (1998) (21)
Comparisons of attributed graph matching algorithms for computer vision (1990) (20)
Self - Organizing Maps and Computer Vision (1992) (20)
Entropy-based measures for clustering and SOM topology preservation applied to content-based image indexing and retrieval (2004) (20)
Cramer-Rao lower bound for linear independent component analysis (2005) (20)
Projective Nonnegative Matrix Factorization : Sparseness , Orthogonality , and Clustering (2009) (19)
Application of tree structured self-organizing maps in content-based image retrieval (1999) (19)
DYNAMICAL FACTOR ANALYSIS OF RHYTHMIC MAGNETOENCEPHALOGRAPHIC ACTIVITY (2001) (19)
Low-Rank Doubly Stochastic Matrix Decomposition for Cluster Analysis (2016) (18)
Neural Independent Component Analysis - Approaches and Applications (1998) (18)
DETECTING PROCESS STATE CHANGES BY NONLINEAR BLIND SOURCE SEPARATION (2003) (18)
Comparison of Adaptive Strategies for On-Line Character Recognition (1998) (18)
From neural learning to independent components (1998) (17)
An Analysis of Convergence for a Learning Version of the Subspace Method (1983) (17)
Effect of Dimensionality Reduction on Different Distance Measures in Document Clustering (2011) (17)
Principal Component Analysis and Whitening (2002) (17)
ADAPTIVE CHARACTER RECOGNIZER FOR A HANDHELD DEVICE : IMPLEMENTATION AND EVALUATION SETUP (2004) (16)
Semiblind source separation of climate data detects El Nino as the component with the highest interannual variability (2005) (16)
From Situations to Actions: Motion Behavior Learning by Self-Organization (1993) (16)
Automatic Rank Determination in Projective Nonnegative Matrix Factorization (2010) (16)
ICA by Maximization of Nongaussianity (2002) (16)
Mathematical background to stereology and morphometry for diagnostic pathologists (1983) (16)
Comparison of Neural and Statistical Classifiers - Theory and Practice (1996) (15)
Fast Computation of Kohonen Self-Organization (1989) (15)
Average Convergence Behavior of the FastICA Algorithm for Blind Source Separation (2006) (15)
Jammer cancellation in DS-CDMA arrays: pre and post switching of ICA and RAKE (2002) (15)
Consistency and asymptotic normality of FastICA and bootstrap FastICA (2012) (15)
Inter-Cell Interference Cancellation in CDMA Array Systems by Independent Component Analysis (2003) (14)
Implementing Relevance Feedback as Convolutions of Local Neighborhoods on Self-Organizing Maps (2002) (14)
A neuron that learns to separate one signal from a mixture of independent sources (1996) (14)
Affective Abstract Image Classification and Retrieval Using Multiple Kernel Learning (2013) (14)
Corrections to “Performance Analysis of the FastICA Algorithm and CramÉr–Rao Bounds for Linear Independent Component Analysis” (2008) (13)
ARTEFACT DETECTION IN ASTROPHYSICAL IMAGE DATA USING INDEPENDENT COMPONENT ANALYSIS (2001) (13)
Randomized Hough Transform (RHT) in Engineering Drawing Vectorization System (1990) (13)
Comparison of chi /sup 2/ and kappa statistics in finding signal and picture periodicity (1988) (13)
Evaluating the Performance of Content-Based Image Retrieval Systems (2000) (13)
Further developments on RHT: basic mechanisms, algorithms, and computational complexities (1992) (13)
Adaptation of Prototype Sets in On-line Recognition of Isolated Handwritten Latin Characters (1999) (13)
Understanding emotional impact of images using Bayesian multiple kernel learning (2015) (12)
Blind Separation of Sources Using Nonlinear PCA Type Learning Algorithms (1995) (12)
Artificial neural networks. Formal models and their applications (2005) (11)
Linear expansions with nonlinear cost functions: modeling, representation, and partitioning (2010) (11)
Selecting β-Divergence for Nonnegative Matrix Factorization by Score Matching (2012) (11)
Specification and implementation environment for neural networks using communicating sequential processes (1988) (11)
Probability Interpretation of Distributions on SOM Surfaces (2003) (10)
Solving Large Regression Problems using an Ensemble of GPU-accelerated ELMs (2010) (10)
Kullback-Leibler Divergence for Nonnegative for Nonnegative Matrix Factorization (2011) (10)
Multiplicative Updates for Learning with Stochastic Matrices (2013) (10)
Principal component analysis (1998) (9)
Motion Detection using Randomized (1991) (9)
Neural Network Systems, Techniques and Applications in Pattern Recognition (1997) (9)
Online Projective Nonnegative Matrix Factorization for Large Datasets (2012) (9)
Adaptation of a linear system to a finite set of patterns occurring in an arbitrarily varying order (1974) (9)
Controlling on-line adaptation of a prototype-based classifier for handwritten characters (2000) (9)
Reduced multidimensional histograms in color texture description (1998) (9)
Independent component analysis and beyond (2004) (9)
A comparison of neural ICA algorithms using real-world data (1999) (9)
Adaptive Multiplicative Updates for Projective Nonnegative Matrix Factorization (2012) (9)
Improving cluster analysis by co-initializations (2014) (9)
Asymmetric multiagent reinforcement learning in pricing applications (2004) (8)
Searching for Independence in Electromagnetic Brain Waves (2000) (8)
Texture subspaces (1987) (8)
Projective Nonnegative Matrix Factorization with α-Divergence (2009) (8)
Compressing higher-order co-occurrences for texture analysis using the self-organizing map (1995) (8)
Methods for adaptive combination of classifiers with application to recognition of handwritten characters (2003) (8)
Projection filters for image and signal restoration (1989) (8)
A family of modified projective Nonnegative Matrix Factorization algorithms (2007) (8)
Self-Organizing Maps of Web Link Information (2001) (8)
Dynamically expanding context as committee adaptation method in on-line recognition of handwritten Latin characters (1999) (8)
Adaptive multiplicative updates for quadratic nonnegative matrix factorization (2014) (8)
Orthogonal nonnegative learning for sparse feature extraction and approximate combinatorial optimization (2010) (8)
Local Independent Component Analysis by the Self-Organizing Map (1997) (8)
Asymptotic performance of the fastica algorithm for independent component analysis and its iprovements (2005) (8)
Neural-net method for dual subspace pattern recognition (1991) (7)
MPEG-7 Descriptors in Content-Based Image Retrieval with PicSOM System (2002) (7)
Multiplicative updates for t-SNE (2010) (7)
From Neural Principal Components to Neural Independent Components (1997) (7)
Neural fitting: Robustness by anti-Hebbian learning (1996) (7)
Using MPEG-7 descriptors in image retrieval with self-organizing maps (2002) (7)
Adaptive local subspace classifier in on-line recognition of handwritten characters (1999) (7)
ICA by Minimization of Mutual Information (2002) (6)
Rejection methods for an adaptive committee classifier (2001) (6)
Inter-Query Relevance Learning in PicSOM for Content-Based Image Retrieval (2003) (6)
On the Construction of Projectors Using Products of Elementary Matrices (1979) (6)
Content-Based Image Retrvieval using Self-Organizing Maps (1999) (6)
Neural networks – advantages and applications (1994) (6)
Proceedings of the 2003 joint international conference on Artificial neural networks and neural information processing (2003) (6)
Color analysis by learning subspaces and optical processing (1988) (5)
On the convergence of an associative learning algorithm in the presence of noise (1980) (5)
Data analysis, visualization, and hidden factor discovery by unsupervised learning (1999) (5)
Image compression by neural networks: a comparison study (1993) (5)
J3.8 FINDING INTERESTING CLIMATE PHENOMENA BY EXPLORATORY STATISTICAL TECHNIQUES (2006) (5)
ICA by Maximum Likelihood Estimation (2002) (5)
Artificial Neural Networks - ICANN 2006, 16th International Conference, Athens, Greece, September 10-14, 2006. Proceedings, Part I (2006) (5)
Optimally generalizing neural networks (1991) (5)
Analysis of Different Writing Styles with the Self-Organizin Map (2000) (5)
Optimizing the Information Retrieval Trade-off in Data Visualization Using $α$-Divergence (2015) (5)
SELF-ORGANIZING IMAGE RETRIEVAL WITH MPEG-7 DESCRIPTORS (2001) (5)
Neural network and statistical perspectives of classification (1996) (5)
Independent Component Analysis.Japanese translation (2005) (5)
Extraction of Components with Structured Variance (2006) (5)
A Complexity Minimization Approach for Estimating Fading Gaussian Channel in CDMA Communications (2000) (5)
Predicting Emotional States of Images Using Bayesian Multiple Kernel Learning (2013) (4)
Independent Component Analysis of Human Brain Waves (1999) (4)
Extending Self-Organizing Maps with uncertainty information of probabilistic PCA (2010) (4)
Experiments With A Self-Supervised Adaptive Classification Strategy In On-Line Recognition Of Isolat (1998) (4)
Finding Clusters and Components by Unsupervised Learning (2004) (4)
Comparison of BSS Methods for the Detection of alpha-Activity Components in EEG (2006) (4)
Computing with neural networks. (1987) (4)
Class-confidence critic combining (2002) (4)
ICA for the Extraction of Auditory Evoked Fields (1998) (4)
Application of Adaptive Committee Classifiers in On-Line Character Recognition (2001) (4)
A fast local PPF restoration filter (1986) (3)
Can we solve the continuous Karhunen-Loève eigenproblem from discrete data? (1986) (3)
Applications of Learning and Intelligent Systems - the Finnish Technology Programme (1995) (3)
Optimal Texture Feature Selection for the Co-Occurrence Map (1996) (3)
Softmax-network and S-Map-models for density-generating topographic mappings (1998) (3)
PicSOM Content-Based Image Retrieval System - Comparison of Techniques (2001) (3)
The evolving tree, a hierarchical tool for unsupervised data analysis (2005) (3)
Methods Using Time Structure (2002) (3)
Reduced Multidimensional Texture Histograms (1997) (3)
Blind source separation: neural net principles and applications (2004) (3)
Emergence of Semantics from Multimedia Databases (2006) (3)
Empirical evaluation of bayesian optimization in parametric tuning of chaotic systems (2016) (3)
Image Restoration by Fast Local Convolution (1988) (2)
TRECVID 2013 Workshop, Gaithersburg, USA, November 20-22, 2013 (2013) (2)
Overview and Comparison of Basic ICA Methods (2002) (2)
Guest Editorial Special Issue on Information Theoretic Learning (2004) (2)
Macadamia: Master's Programme in Machine Learning and Data Mining (2008) (2)
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) (2005) (2)
S-Orthogonal Projection Operators as Asymptotic Solutions of a Class of Matrix Differential Equations (1978) (2)
WITHDRAWN: Special issue on “Time series prediction competition: The CATS benchmark” (2007) (2)
Asymptotic solutions of a class of matrix differential equations arising in neutral network modelling (1977) (2)
Blind separation from ε-contaminated mixtures (1998) (2)
Blind decomposition of multimodal evoked responses and DC fields (2003) (2)
Bayesian ensemble learning of generative models (2)
Medical Document Mining Combining Image Exploration and Text Characterization (2014) (2)
SWITCHING OF ICA AND RAKE DS-CDMA ARRAYS: PRE AND POST (2002) (2)
Adaptive and intelligent systems applications (1999) (2)
Texture Classification with Single- and Multiresolution Co-Occurrence Maps (1998) (2)
Convolutive Mixtures and Blind Deconvolution (2002) (2)
Basic principles of image analysis by a computer (1983) (2)
Introduction to Special Issue on Independent Components Analysis (2003) (2)
Gradients and Optimization Methods (2002) (2)
ICA with Overcomplete Bases (2002) (2)
Linear and Nonlinear Projective Nonnegative (2010) (2)
Learning Subspace Classifiers and Error-Corrective Feature Extraction (1998) (1)
A comparison of algorithms for separation of synchronous subspaces (2012) (1)
ICA by Tensorial Methods (2002) (1)
Finding Hidden Factors Using Independent Component Analysis (2002) (1)
A PRECISION EXPERIMENT ON ELECTRONS, PHOTONS AND MUONS AT LHC (1993) (1)
A Multimodal Information Collector for Content-Based Image Retrieval System (2011) (1)
Feature extraction using an unsupervised neural network (1999) (1)
Special issue on information theoretic learning. (2004) (1)
Density Function Interpretation of Subspace Classification Methods (1997) (1)
Information Theoretic and Nonlinear PCA Approaches to Independent Component Analysis (1998) (1)
Non-Gaussian component analysis using Density Gradient Covariance matrix (2011) (1)
Error-Corrective Feature Extraction in Handwritten Digit Recognition (1997) (1)
Time Series Benchmarking Competition: The CATS Benchmark (2004) (1)
Projective Nonnegative Matrix Factorization based on α-Divergence (2010) (1)
Proceedings of the 15th international conference on Artificial neural networks: formal models and their applications - Volume Part II (2005) (1)
Experiments with Adaptation Methods in On-line Recognition of Isolated Latin Characters (2000) (1)
L3P : lepton and photon precision physics (1992) (1)
Artificial neural networks -- ICANN 2006 : 16th International Conference, Athens, Greece, September 10-14, 2006 : proceedings (2006) (1)
Projective Nonnegative Matrix Factorization based on Alpha-Divergence (2011) (1)
Task-Based User Evaluation of Content-Based Image Database Browsing Systems (2004) (1)
FINDING STRUCTURE IN SIGNALS, IMAGES, AND DATA (2000) (0)
Finding Hidden Factors in Large Spatiotemporal Data Sets (2006) (0)
Randomized Hough Transform Applied to Translational andRotational Motion (1992) (0)
The 11th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAW 2010) (2010) (0)
Independent Component Analisys (2002) (0)
The Nonlinear PCA Approach to ICA (1998) (0)
Real‐Valued Mathematical Tools for Cognitive Modeling (2006) (0)
198 Other projects 14.1 Adaptive committee techniques (2006) (0)
Unsupervised Learning in Human-Computer Interfaces (2003) (0)
Pairwise Clustering with t-PLSI (2012) (0)
A Theoretical Study of Serial Correlation of Spike Trains in A Second Order Neuron (1972) (0)
IEEE Fellows' Class of 2013 [Society Briefs] (2013) (0)
Bayesian optimization for tuning chaotic systems (2014) (0)
Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010) (2010) (0)
Independent Component Analysis in Image Denoising Instructor (1999) (0)
Signal Decomposition by Fast ICA (1998) (0)
Unsupervised learningin neural computation (2002) (0)
Hybrid Artificial Intelligence Systems, 4th International Conference, HAIS 2009, Salamanca, Spain, June 10-12, 2009. Proceedings (2014) (0)
Chapter 7 On-line recognition of handwritten characters (2004) (0)
Homogeneous Neural Networks for Principal Component Analysis (1991) (0)
TRECVID workshop, TRECVID, Orlando, USA, November 10-12 2014 (2014) (0)
Feature Extraction by ICA (2002) (0)
Random Vectors and Independence (2002) (0)
The Impact of Randomization on Circular-Complex Extreme Learning Machine for Real Valued Classification Problems (2018) (0)
Chapter 3 Blind and semi-blind source separation (2010) (0)
Content-Based Image Indexing and Retrieval: The PicSOM System (2000) (0)
a Software Package for HoughTransform Calculation 1 (1995) (0)
Chapter 2 Independent component analysis and blind source separation (2004) (0)
Finding Hidden Factors in Large Spatiotemporal Data Sets (2005) (0)
PROJECTIVE NONNEGATIVE MATRIX FACTORIZATION BASED ON α-DIVERGENCE Zhirong (2015) (0)
Box 5400 , FIN-02015 HUT , Finland GMD-FIRST Kekuléstr . 7 D-12489 Berlin , Germany (2001) (0)
Patterns, clusters, and components - what data is made of (2004) (0)
Proceedings of the 15th international conference on Artificial Neural Networks: biological Inspirations - Volume Part I (2005) (0)
ICA by Nonlinear Decorrelation and Nonlinear PCA (2002) (0)
Content-based information retrieval and analysis (2008) (0)
Hybrid Artificial Intelligence Systems (2009) (0)
Drifting Linear Dynamics (2010) (0)
Variational Bayesian learning of generative models (2004) (0)
Independent component analysis and blind source separation (2008) (0)
Finding Hidden Factors in Large Spatiotemporal Data Sets (2005) (0)
Artificial Neural Networks - ICANN 2006: 16th International Conference, Athens, Greece, September 10-14, 2006, Proceedings, Part I (Lecture Notes in Computer Science) (2006) (0)
Neural networks and their applications: Introduction (2001) (0)
EPRINTS-BOOK-TITLE (2004) (0)
Blind and semi-blind source separation (2012) (0)
Neural Networks so Ci Ety Newsletters Message from the Inns President (2003) (0)
Advanced uncertainty evaluation of climate models and their future climate projections (2010) (0)
Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part II (2006) (0)
Neural networks as a statistical model for optical scatterometry (1998) (0)
Light metrology based on inverse scattering analysis and artificial neural networks (1997) (0)
Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I (2006) (0)
Nonlinear Processes in Geophysics On closure parameter estimation in chaotic systems (2012) (0)
Biomedical data analysis (0)
Extraction of the Opto-Geometrical Properties of Gratings from Scattering Data by Means of the Neural Network (1997) (0)
Finding Hidden Factors UsingIndependent Component Analysis (2002) (0)
Chapter 7 Content-based information retrieval and analysis (2008) (0)
Finding Hidden Factors in Large Spatiotemporal Data Sets (2005) (0)
Proactive Interfaces (2012) (0)
Brain Imaging Applications (2002) (0)

This paper list is powered by the following services:

Other Resources About Erkki Oja

en.wikipedia.org

What Schools Are Affiliated With Erkki Oja?

Erkki Oja is affiliated with the following schools: