Kari Torkkola

发表

Feature Selection with Ensembles, Artificial Variables, and Redundancy Elimination

George C. Runger, Eugene Tuv, Alexander Borisov, 2009, J. Mach. Learn. Res..

Blind separation of delayed sources based on information maximization

Kari Torkkola, K. Torkkola, 1996, 1996 IEEE International Conference on Acoustics, Speech, and Signal Processing Conference Proceedings.

New ways to use LVQ-codebooks together with hidden Markov models

Kari Torkkola, K. Torkkola, 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.

Neural Network Applications

John Fulcher, Jim Austin, Andrea Basso, 1996 .

Intelligent instance selection of data streams for smart sensor applications

Huan Liu, Kari Torkkola, Magdiel Galan, 2005, SPIE Defense + Commercial Sensing.

Mapping content dependent acoustic information into context independent form by LVQ

Teuvo Kohonen, Kari Torkkola, Jyri Mäntysalo, 1994, Speech Commun..

Status Report Of The Finnish Phonetic Typewriter Project

Mikko Kurimo, Teuvo Kohonen, Jari Kangas, 1991 .

Understanding Driving Activity Using Ensemble Methods

Harry Zhang, Kari Torkkola, Mike Gardner, 2008, Computational Intelligence in Automotive Applications.

A Context Aware Automatic Traffic Notification System for Cell Phones

Haifeng Li, Harry Zhang, Zheng Zhao, 2007, 27th International Conference on Distributed Computing Systems Workshops (ICDCSW'07).

A combination of neural network and low-level AI-techniques to transcribe speech into phonemes

Kari Torkkola, K. Torkkola, 1991 .

An architecture for an intelligent driver assistance system

Chung Hee Hwang, Noel Massey, Bradford W. Miller, 2003, IEEE IV2003 Intelligent Vehicles Symposium. Proceedings (Cat. No.03TH8683).

Blind Separation For Audio Signals - Are We There Yet?

Kari Torkkola, K. Torkkola, 1999 .

Ensemble Learning with Supervised Kernels

Eugene Tuv, Kari Torkkola, K. Torkkola, 2005, ECML.

Adaptive Learning of Semantic Locations and Routes

Haifeng Li, Kari Torkkola, Mike Gardner, 2007, LoCA.

Self-organizing maps in mining gene expression data

Kari Torkkola, Robert M. Gardner, Tamma M Kaysser-Kranich, 2001, Inf. Sci..

LVQPAK: A software package for the correct application of Learning Vector Quantization algorithms

Jorma Laaksonen, Teuvo Kohonen, Jari Kangas, 1992, [Proceedings 1992] IJCNN International Joint Conference on Neural Networks.

Using SOMs as feature extractors for speech recognition

Jari Kangas, Kari Torkkola, Mikko Kokkonen, 1992, [Proceedings] ICASSP-92: 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Feature Selection Using Ensemble Based Ranking Against Artificial Contrasts

Eugene Tuv, Alexander Borisov, Kari Torkkola, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Ensembles of Regularized Least Squares Classifiers for High-Dimensional Problems

Eugene Tuv, Kari Torkkola, K. Torkkola, 2006, Feature Extraction.

Improving short-time speech frame recognition results by using context

Mikko Kurimo, Mikko Kokkonen, Kari Torkkola, 1991, EUROSPEECH.

Utilizing Driving Simulators in the Development and Evaluation of Advanced Safety Systems

Harry Zhang, Kari Torkkola, Chip Wood, 2006 .

Application of self-organizing maps and LVQ in training continuous density hidden Markov models for phonemes

Mikko Kurimo, Kari Torkkola, 1992, ICSLP.

Learning Discriminative Feature Transforms to Low Dimensions in Low Dimentions

Kari Torkkola, K. Torkkola, 2001, NIPS.

A comparison of two methods to transcribe speech into phonemes: a rule-based method vs. back-propagation

Mikko Kokkonen, Kari Torkkola, 1990, ICSLP.

An efficient way to learn English grapheme-to-phoneme rules automatically

Kari Torkkola, 1993, 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing.

A nonheuristic automatic composing method

Teuvo Kohonen, Kari Torkkola, P. Laine, 1991 .

A Semi-Automatic Data Annotation Tool for Driving Simulator Data Reduction

Harry Zhang, Kari Torkkola, Keshu Zhang, 2007 .

Ensemble-Based Variable Selection Using Independent Probes

Eugene Tuv, Alexander Borisov, Kari Torkkola, 2007 .

Deep Generative Quantile-Copula Models for Probabilistic Forecasting pdf

Ruofeng Wen, Kari Torkkola, K. Torkkola, 2019, ArXiv.

Microprocessor implementation of a large vocabulary speech recognizer and phonetic typewriter for Finnish and Japanese

Olli Ventä, Teuvo Kohonen, Jari Kangas, 1987, ECST.

LVQ-based speech recognition with high-dimensional context vectors

Teuvo Kohonen, Kari Torkkola, Jyri Mäntysalo, 1992, ICSLP.

Adaptive learning of semantic locations and routes

Haifeng Li, Kari Torkkola, Mike Gardner, 2007, AUTONOMICS 2007.

Classification of Critical Driving Events

Noel Massey, Kari Torkkola, Chip Wood, 2003, International Conference on Machine Learning and Applications.

Sensor Selection for Driving State Recognition

Kari Torkkola, Mike Gardner, John Summers, 2006, The 2006 IEEE International Joint Conference on Neural Network Proceedings.

Mutual Information in Learning Feature Transformations

William M. Campbell, Kari Torkkola, K. Torkkola, 2000, ICML.

Using self-organizing maps and multi-layered feed-forward nets to obtain phonemic transcriptions of spoken utterances

Mikko Kokkonen, Kari Torkkola, 1990, Speech Commun..

Chapter 11 Ensembles of Regularized Least Squares Classifiers for High-Dimensional Problems

Eugene Tuv, Kari Torkkola, K. Torkkola, 2008 .

Linear Discriminant Analysis in Document Classification

Kari Torkkola, K. Torkkola, 2007 .

Phonetic typewriter for Finnish and Japanese

Olli Ventä, Teuvo Kohonen, Jari Kangas, 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

Best Subset Feature Selection for Massive Mixed-Type Problems

Eugene Tuv, Alexander Borisov, Kari Torkkola, 2006, IDEAL.

Hybrid Intelligence for Driver Assistance

Chung Hee Hwang, Noel Massey, Bradford W. Miller, 2003, FLAIRS Conference.

Techniques to Synchronize and Align Driving Simulator Data

Noel Massey, Kari Torkkola, Michael R Gardner, 2005 .

LVQ_PAK: The Learning Vector Quantization Program Package

Jorma Laaksonen, Teuvo Kohonen, Jari Kangas, 1996 .

Combining LVQ with continuous-density hidden Markov models in speech recognition

Mikko Kurimo, Kari Torkkola, 1992, Optics & Photonics.

Machine Learning for Advising a Driver: A Survey

William M. Campbell, Kari Torkkola, 2002, ICMLA.

On feature extraction by mutual information maximization

Kari Torkkola, K. Torkkola, 2002, 2002 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Detecting driver inattention in the absence of driver monitoring sensors

Noel Massey, Kari Torkkola, Chip Wood, 2004, 2004 International Conference on Machine Learning and Applications, 2004. Proceedings..

Naturalistic use of cell phones in driving and context-based user assistance

Harry Zhang, Kari Torkkola, Christopher Schreiner, 2007, Mobile HCI.

Evaluation of blind signal separation methods

Paris Smaragdis, Kari Torkkola, Dwe Daniël Schobben, 1999 .

Feature extraction using information-theoretic learning

Deniz Erdogmus, José Carlos Príncipe, Kenneth E. Hild, 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Discriminative features for text document classification

Kari Torkkola, K. Torkkola, 2003, Formal Pattern Analysis & Applications.

Evolving Feature Selection

Chris H. Q. Ding, Hanchuan Peng, Fuhui Long, 2005, IEEE Intell. Syst..

Dimension Reduction Techniques for Training Polynomial Networks

William M. Campbell, Kari Torkkola, Sreeream V. Balakrishnan, 2000, ICML.

Stochastic models and artificial neural networks for automatic speech recognition

Kari Torkkola, 1995 .

Comparison of symbolic and connectionist approaches to eliminate coarticulation effects in phonemic speech recognition

Kimmo Raivio, Kari Torkkola, 1989, EUROSPEECH.

Using Machine Learning Techniques to Reduce Data Annotation Time

Kari Torkkola, Michael R Gardner, Keshu Zhang, 2006 .

Learning feature transforms is an easier problem than feature selection

Kari Torkkola, 2002, Object recognition supported by user interaction for service robots.

Blind deconvolution, information maximization and recursive filters

Kari Torkkola, K. Torkkola, 1997, 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing.

Improved speech recognition using learning vector quantization

Kari Torkkola, 1997 .

A Hybrid Approach to Continuous Speech Recognition

Teuvo Kohonen, Kari Torkkola, 1995 .

Correction of quasiphoneme strings by the dynamically expanding context

Teuvo Kohonen, Kari Torkkola, 1988, [1988 Proceedings] 9th International Conference on Pattern Recognition.

Adaptive Learning of Semantic Locations and Routes

Haifeng Li, Kari Torkkola, Mike Gardner, 2007, Location- and Context-Awareness.

SEMI-AUTOMATIC DRIVING DATA ANNOTATION

Kari Torkkola, Michael R Gardner, Keshu Zhang, 2006 .

Sensor Sequence Modeling for Driving

Huan Liu, Kari Torkkola, Srihari Venkatesan, 2005, FLAIRS Conference.

Automatic alignment of speech with phonetic transcriptions in real time

Kari Torkkola, K. Torkkola, 1988, ICASSP-88., International Conference on Acoustics, Speech, and Signal Processing.

Discriminative features for document classification

Kari Torkkola, K. Torkkola, 2002, Object recognition supported by user interaction for service robots.

Using phoneme group specific LVQ-codebooks with HMMs

Samuel Kaski, Kari Torkkola, Pekka Utela, 1992, ICSLP.

A microprocessor-based word recognition system for large vocabularies

Kari Torkkola, H. Riittinen, 1986, ICASSP '86. IEEE International Conference on Acoustics, Speech, and Signal Processing.

Blind Separation of Radio Signals in Fading Channels

Kari Torkkola, 1997, NIPS.

Blind separation of convolved sources based on information maximization

Kari Torkkola, K. Torkkola, 1996, Neural Networks for Signal Processing VI. Proceedings of the 1996 IEEE Signal Processing Society Workshop.

Development of a Semi-Automatic Data Annotation Tool for Driving Data

Kari Torkkola, Mike Gardner, Christopher Schreiner, 2006, 2006 IEEE Intelligent Transportation Systems Conference.

RF-ACE for uncovering nonlinear associations from heterogeneous cancer data

Ilya Shmulevich, Olli Yli-Harja, Harri Lähdesmäki, 2011 .

Ensembles of Least Squares Classifiers with Randomized Kernels

Eugene Tuv, Kari Torkkola, K. Torkkola, 2008, Data Mining: Foundations and Practice.

Multiclass Probabilistic Kernel Discriminant Analysis

Huan Liu, Kari Torkkola, Amit Mandvikar, 2009, IJCAI.

Information-Theoretic Methods

Kari Torkkola, K. Torkkola, 2006, Feature Extraction.

Feature Extraction by Non-Parametric Mutual Information Maximization

Kari Torkkola, K. Torkkola, 2003, J. Mach. Learn. Res..

BLIND SIGNAL SEPARATION IN COMMUNICATIONS: MAKING USE OF KN OWN SIGNAL DISTRIBUTIONS

Kari Torkkola, K. Torkkola, 1998 .

Using Driver ' s Speech to Detect Cognitive Workload

Kari Torkkola, Chip Wood, Snehal Kundalkar, 2004 .

Inattentional Blindness While Driving

Noel Massey, Kari Torkkola, Chip Wood, 2005 .

WarpNet: Self-Organizing Time Warping

Kari Torkkola, 2007 .

Perception and Cognition

Mark A. Fanty, Jim Austin, John Fulcher, 1996 .

PATTERN RECOGNITION OF HOARSE AND HEALTHY VOICES BY THE SELF-ORGANIZING MAP

Jari Kangas, Kari Torkkola, Lea Leinonen, 1991 .

Sequential Feature Extraction Using Information-Theoretic Learning

Deniz Erdogmus, Jose C. Principe, Kenneth E. Hild, 2001 .