Teknillinen korkeakoulu. Informaatiotekniikan laboratorio

name

• Teknillinen korkeakoulu. Informaatiotekniikan laboratorio

Authored works

• Annual report : 1984

Works contributed to

• A Bayesian approach to overlearning in ICA
• A class of neural networks for independent component analysis
• A family of fixed-point algorithms for independent component analysis
• A fast implementation of the maximum-search function in adaptive solutions' CNAPS neurocomputer
• A fast semi-blind source separation algorithm
• A microprocessor-based version of the Otaniemi speech recognition system
• A neural network that emphasizes or suppresses visual objects according to eye movements
• Adaptive frequency estimation by MUSIC method
• Adaptive, associative, and self-organizing functions in neural computing
• Advanced analysis methods for 3G cellular networks
• An algorithm for binary blind source separation
• An analysis of an associative text recognition method
• An operational cloud classifier based on a self-organized feature map
• Analysis and implementation of a high-speed packet switching architecture : the frame synchronized ring
• Asymptotic level density for a class of vector quantization processes
• Bayesian inference in nonlinear and relational latent variable models
• Boosting the computing power in pattern recognition by unconventional architectures
• Clustering and visualization of large protein sequence databases by means of an extension of the self-organizing map
• Compaction of c-band synthetic aperture radar based sea ice information for navigation in the Baltic Sea
• Comparison between classical and neu[t]ral network methods in texture recognition
• Computation of VQ and SOM point densities using the calculus of variations
• Computational models relating properties of visual neurons to natural stimulus statistics
• Computationally efficient approximation of a probabilistic model for document representation in the WEBSOM full-text analysis method
• Content-addressable memory
• Conventional and neural methods for estimating principal component type subspaces with application to sinusoidal frequency estimation
• Convergence of a stochastic semisupervised clustering algorithm
• Data exploration with learning metrics
• Development of a cloud classifier
• Dissertations in computer and information science / Helsinki University of Technology. Report D
• Exploratory cluster analysis of genomic high-throughput data sets and their dependencies
• Exploratory source separation in biomedical systems
• Fast evolutionary learning with batch-type self-organizing maps
• Finite sequential information bottleneck (fsIB)
• From insights to innovations : data mining, visualization, and user interfaces
• Independent component analysis by general non-linear Hebbian-like rules
• Independent component analysis by minimization of mutual information
• Learning from environmental data : methods for analysis of forest nutrition time series
• Learning metrics and discriminative clustering
• Learning vector quantization for pattern recognition
• Linear space-time modulation in multiple-antenna channels
• LVQ_PAK : the learning vector quantization program package
• MATLAB-ohjelmiston laajennus tehospektrin estimointiin
• Multidimensional image analysis : special course in information science III, autumn 1989
• Natural image patch statistics conditioned on activity of an independent component
• Neural networks for blind separation with unknown number of sources
• Neural networks for speech recognition
• New approximations of differential entropy for independent component analysis and projection pursuit
• Newsgroup exploration with WEBSOM method and browsing interface
• Nonlinear PCA : algorithms and applications
• Optimal code generation based on modular system descriptions
• Parallel architectures and implementations for digital signal processing algorithms
• Probabilistic models of early vision
• Publications in computer and information science : Report A
• Regularized discriminative clustering
• Report : B / Helsinki University of Technology, Faculty of Information Technology, Laboratory of Computer and Information Science
• Representation and separation of signals using nonlinear PCA type learning
• Second-order ICA in machine vibration analysis
• Self-organizing maps of symbol strings
• Self-organizing semantic maps
• Self-organizing tactile maps
• Semisupervised clustering based on conditional distributions in an auxiliary space
• Signal processor code generation : an analytic study and practical consideration
• Signal processor implementation of some digital filter structures
• Simple gradient type algorithms for data-adaptive eigenvector estimation
• Simple neuron models for independent component analysis
• Simulating language learning in community of agents using self-organizing maps
• Sinusoidal frequency estimation by signal subspace approximation
• SOM_PAK : the self-organizing map program package
• Sparse code shrinkage : denoising of nongaussian data by maximum likelihood estimation
• Statistical analysis of implementations for simple digital filters
• Structures of welfare and poverty in the world discovered by the self-organizing map
• Text retrieval using self-organized document maps
• The nonlinear PCA learning rule and signal separation : mathematical analysis
• The speedy SOM
• Training mixture density HMMs with SOM and LVQ
• Triennial report 1994-1996
• Triennial report 1997-1999 : Helsinki University of Technology, Laboratory of Computer and Information Science and Neural Networks Research Centre
• Unsupervised learning of nonlinear dynamic state-space models
• Unsupervised pattern recognition methods for exploratory analysis of industrial process data
• Use of temporal information in English vowel classification : experiments with the TIMIT database
• Using and extending itemsets in data mining : query approximation, dense itemsets, and tiles
• Using visualization, variable selection and feature extraction to learn from industrial data

Works about Teknillinen korkeakoulu. Informaatiotekniikan laboratorio