Mahesan Niranjan

According to our database1, Mahesan Niranjan authored at least 101 papers between 1987 and 2018.

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Bibliography

2018
Deep Cascade Learning.
IEEE Trans. Neural Netw. Learning Syst., 2018

2017
Rank Selection in Nonnegative Matrix Factorization using Minimum Description Length.
Neural Computation, 2017

Non-Negative Matrix Factorization with Exogenous Inputs for Modeling Financial Data.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

A Method of Integrating Spatial Proteomics and Protein-Protein Interaction Network Data.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

Robust Portfolio Risk Minimization Using the Graphical Lasso.
Proceedings of the Neural Information Processing - 24th International Conference, 2017

2016
Rotation invariant texture descriptors based on Gaussian Markov random fields for classification.
Pattern Recognition Letters, 2016

Extending the feature set of a data-driven artificial neural network model of pricing financial options.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

2015
Defining the Gold Standard Definitions for the Morphology of Sinhala Words.
Research in Computing Science, 2015

Detection of social events in streams of social multimedia.
IJMIR, 2015

Speaker Adaptation Applied to Sinhala Speech Recognition.
Int. J. Comput. Linguistics Appl., 2015

Outlier detection at the transcriptome-proteome interface.
Bioinformatics, 2015

Single-cell transcriptional analysis to uncover regulatory circuits driving cell fate decisions in early mouse development.
Bioinformatics, 2015

MIAT: A novel attribute selection approach to better predict upper gastrointestinal cancer.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015

Statistical Machine Translation from and into Morphologically Rich and Low Resourced Languages.
Proceedings of the Computational Linguistics and Intelligent Text Processing, 2015

2014
Gaussian Markov random field based improved texture descriptor for image segmentation.
Image Vision Comput., 2014

Biomedical visual data analysis to build an intelligent diagnostic decision support system in medical genetics.
Artificial Intelligence in Medicine, 2014

Bayesian Reordering Model with Feature Selection.
Proceedings of the Ninth Workshop on Statistical Machine Translation, 2014

Quantitative Analysis of Pulmonary Emphysema using Isotropic Gaussian Markov Random Fields.
Proceedings of the VISAPP 2014, 2014

Texture Classification with Fisher Kernel Extracted from the Continuous Models of RBM.
Proceedings of the VISAPP 2014, 2014

Computational Models of Object Recognition - Goal, Role and Success.
Proceedings of the VISAPP 2014, 2014

An Inhomogeneous Bayesian Texture Model for Spatially Varying Parameter Estimation.
Proceedings of the ICPRAM 2014, 2014

Memory-efficient large-scale linear support vector machine.
Proceedings of the Seventh International Conference on Machine Vision, 2014

Large-scale Reordering Model for Statistical Machine Translation using Dual Multinomial Logistic Regression.
Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing, 2014

Sinhala-Tamil Machine Translation: Towards better Translation Quality.
Proceedings of the Australasian Language Technology Association Workshop, 2014

2013
On Acoustic Emotion Recognition: Compensating for Covariate Shift.
IEEE Trans. Audio, Speech & Language Processing, 2013

Design of a Low-Power On-Body ECG Classifier for Remote Cardiovascular Monitoring Systems.
IEEE J. Emerg. Sel. Topics Circuits Syst., 2013

Simultaneous pursuit of out-of-sample performance and sparsity in index tracking portfolios.
Comput. Manag. Science, 2013

Bridging the gap between transcriptome and proteome measurements identifies post-translationally regulated genes.
Bioinformatics, 2013

Inducing discrimination in biologically inspired models of visual scene recognition.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2013

Social Event Detection Via Sparse Multi-modal Feature Selection and Incremental Density Based Clustering.
Proceedings of the MediaEval 2013 Multimedia Benchmark Workshop, 2013

Inferring Time-Delayed Gene Regulatory Networks Using Cross-Correlation and Sparse Regression.
Proceedings of the Bioinformatics Research and Applications, 9th International Symposium, 2013

Enriching Texture Analysis with Semantic Data.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
A Review of Codebook Models in Patch-Based Visual Object Recognition.
Signal Processing Systems, 2012

Markov Chain Monte Carlo Methods for State-Space Models with Point Process Observations.
Neural Computation, 2012

State and parameter estimation of the heat shock response system using Kalman and particle filters.
Bioinformatics, 2012

Gaussian process modelling for bicoid mRNA regulation in spatio-temporal Bicoid profile.
Bioinformatics, 2012

On the Trade-Off of Accuracy and Computational Complexity for Classifying Normal and Abnormal ECG in Remote CVD Monitoring Systems.
Proceedings of the 2012 IEEE Workshop on Signal Processing Systems, 2012

Establishment of a Diagnostic Decision Support System in Genetic Dysmorphology.
Proceedings of the 11th International Conference on Machine Learning and Applications, 2012

Unsupervised Texture Segmentation using Active Contours and Local Distributions of Gaussian Markov Random Field Parameters.
Proceedings of the British Machine Vision Conference, 2012

2011
Online Variational Inference for State-Space Models with Point-Process Observations.
Neural Computation, 2011

Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation.
Journal of Machine Learning Research, 2011

2010
Inference from Low Precision Transcriptome Data Representation.
Signal Processing Systems, 2010

Asymptotic mean and variance of Gini correlation for bivariate normal samples.
IEEE Trans. Signal Processing, 2010

Estimating a State-Space Model from Point Process Observations: A Note on Convergence.
Neural Computation, 2010

The application of structured learning in natural language processing.
Machine Translation, 2010

Approximate low-rank factorization with structured factors.
Computational Statistics & Data Analysis, 2010

Reducing the algorithmic variability in transcriptome-based inference.
Bioinformatics, 2010

Exploiting Long-Range Dependencies in Protein beta-Sheet Secondary Structure Prediction.
Proceedings of the Pattern Recognition in Bioinformatics, 2010

2009
Remote Homology Detection Using a Kernel Method that Combines Sequence and Secondary-Structure Similarity Scores.
In Silico Biology, 2009

Cross-Platform Analysis with Binarized Gene Expression Data.
Proceedings of the Pattern Recognition in Bioinformatics, 2009

Sequential Hierarchical Pattern Clustering.
Proceedings of the Pattern Recognition in Bioinformatics, 2009

Modelling uncertainty in transcriptome measurements enhances network component analysis of yeast metabolic cycle.
Proceedings of the IEEE International Conference on Acoustics, 2009

Handling phrase reorderings for machine translation.
Proceedings of the ACL 2009, 2009

2008
Enhancing Automatic Construction of Gene Subnetworks by Integrating Multiple Sources of Information.
Signal Processing Systems, 2008

Mining Protein Database using Machine Learning Techniques.
J. Integrative Bioinformatics, 2008

Applying Cost-Sensitive Multiobjective Genetic Programming to Feature Extraction for Spam E-mail Filtering.
Proceedings of the Genetic Programming, 11th European Conference, 2008

2007
Prediction of Gene Expression in Embryonic Structures of Drosophila melanogaster.
PLoS Computational Biology, 2007

2006
Automatic Face Recognition Using Stereo Images.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

Outlier Detection in Benchmark Classification Tasks.
Proceedings of the 2006 IEEE International Conference on Acoustics Speech and Signal Processing, 2006

2004
Reducing the variability in cDNA microarray image processing by Bayesian inference.
Bioinformatics, 2004

2003
Sequential Bayesian Decoding with a Population of Neurons.
Neural Computation, 2003

Subspaces of text discrimination with application to biological literature.
Proceedings of the NNSP 2003, 2003

Bayesian processing of microarray images.
Proceedings of the NNSP 2003, 2003

2002
Diphone subspace mixture trajectory models for HMM complementation.
Speech Communication, 2002

2001
Speech enhancement using a Bayesian evidence approach.
Computer Speech & Language, 2001

Extractive summarization of voicemail using lexical and prosodic feature subset selection.
Proceedings of the EUROSPEECH 2001 Scandinavia, 2001

2000
Dynamic Learning with the EM Algorithm for Neural Networks.
VLSI Signal Processing, 2000

Neuro-computing versus linear statistical techniques applied to liver transplant monitoring: a comparative study.
IEEE Trans. Biomed. Engineering, 2000

Sequential Monte Carlo Methods to Train Neural Network Models.
Neural Computation, 2000

Hierarchical Bayesian Models for Regularization in Sequential Learning.
Neural Computation, 2000

Data-dependent kernels in svm classification of speech patterns.
Proceedings of the Sixth International Conference on Spoken Language Processing, 2000

Matched filter design for diphone subspace models.
Proceedings of the IEEE International Conference on Acoustics, 2000

1999
Parametric subspace modeling of speech transitions.
Speech Communication, 1999

Speech Modelling Using Subspace and EM Techniques.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

Diphone subspace models for phone-based HMM complementation.
Proceedings of the Sixth European Conference on Speech Communication and Technology, 1999

Diphone multi-trajectory subspace models.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Sequential Bayesian computation of logistic regression models.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

Hybrid sequential Monte Carlo/Kalman methods to train neural networks in non-stationary environments.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Feature selection using expected attainable discrimination.
Pattern Recognition Letters, 1998

Global Optimisation of Neural Network Models via Sequential Sampling.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998

Global optimisation of neural network models via sequential sampling-importance resampling.
Proceedings of the 5th International Conference on Spoken Language Processing, Incorporating The 7th Australian International Speech Science and Technology Conference, Sydney Convention Centre, Sydney, Australia, 30th November, 1998

Markov chain Monte Carlo methods for speech enhancement.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Speech enhancement in a Bayesian framework.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Parametric subspace modelling of speech transitions.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Realisable Classifiers: Improving Operating Performance on Variable Cost Problems.
Proceedings of the British Machine Vision Conference 1998, 1998

1997
Average-Case Learning Curves for Radial Basis Function Networks.
Neural Computation, 1997

Regularisation in Sequential Learning Algorithms.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997

1996
Sequential Tracking in Pricing Financial Options using Model Based and Neural Network Approaches.
Proceedings of the Advances in Neural Information Processing Systems 9, 1996

1995
On the statistical physics of radial basis function networks.
Neural Processing Letters, 1995

On the practical applicability of VC dimension bounds.
Neural Computation, 1995

The use of maximum a posteriori parameters in linear prediction of speech.
Proceedings of the Fourth European Conference on Speech Communication and Technology, 1995

Vocal tract modelling with recurrent neural networks.
Proceedings of the 1995 International Conference on Acoustics, 1995

1994
Fully vector-quantized neural network-based code-excited nonlinear predictive speech coding.
IEEE Trans. Speech and Audio Processing, 1994

On the design of nonlinear speech predictors with recurrent nets.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

Recursive tracking of formants in speech signals.
Proceedings of ICASSP '94: IEEE International Conference on Acoustics, 1994

1993
A Function Estimation Approach to Sequential Learning with Neural Networks.
Neural Computation, 1993

1990
A theoretical investigation into the performance of the Hopfield model.
IEEE Trans. Neural Networks, 1990

Sequential Adaptation of Radial Basis Function Networks.
Proceedings of the Advances in Neural Information Processing Systems 3, 1990

Speech Feature Extraction Using Neural Networks.
Proceedings of the Neural Networks, 1990

1988
Book reviews.
Artif. Intell. Rev., 1988

1987
On modelling the dynamics of speech patterns.
Proceedings of the European Conference on Speech Technology, 1987


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