| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Wei Liu, Mahesan Niranjan |
Gaussian process modelling for bicoid mRNA regulation in spatio-temporal Bicoid profile.  |
Bioinformatics  |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Ke Yuan, Mark Girolami, Mahesan Niranjan |
Markov Chain Monte Carlo Methods for State-Space Models with Point Process Observations. |
Neural Computation |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Amirthalingam Ramanan, Mahesan Niranjan |
A Review of Codebook Models in Patch-Based Visual Object Recognition. |
Signal Processing Systems |
2012 |
DBLP DOI BibTeX RDF |
|
| 1 | Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan |
Exploitation of Machine Learning Techniques in Modelling Phrase Movements for Machine Translation. |
Journal of Machine Learning Research |
2011 |
DBLP BibTeX RDF |
|
| 1 | Andrew Zammit Mangion, Ke Yuan, Visakan Kadirkamanathan, Mahesan Niranjan, Guido Sanguinetti |
Online Variational Inference for State-Space Models with Point-Process Observations. |
Neural Computation |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Ivan Markovsky, Mahesan Niranjan |
Approximate low-rank factorization with structured factors. |
Computational Statistics & Data Analysis |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Salih Tuna, Mahesan Niranjan |
Reducing the algorithmic variability in transcriptome-based inference. |
Bioinformatics |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Weichao Xu, Y. S. Hung, Mahesan Niranjan, Minfen Shen |
Asymptotic mean and variance of Gini correlation for bivariate normal samples. |
IEEE Transactions on Signal Processing |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan |
The application of structured learning in natural language processing. |
Machine Translation |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Ke Yuan, Mahesan Niranjan |
Estimating a State-Space Model from Point Process Observations: A Note on Convergence. |
Neural Computation |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Salih Tuna, Mahesan Niranjan |
Inference from Low Precision Transcriptome Data Representation. |
Signal Processing Systems |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Yizhao Ni, Mahesan Niranjan |
Exploiting Long-Range Dependencies in Protein beta-Sheet Secondary Structure Prediction. |
PRIB |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | C. Q. Chang, Y. S. Hung, Mahesan Niranjan |
Modelling uncertainty in transcriptome measurements enhances network component analysis of yeast metabolic cycle. |
ICASSP |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Yizhao Ni, Craig Saunders, Sándor Szedmák, Mahesan Niranjan |
Handling phrase reorderings for machine translation. |
ACL/AFNLP (Short Papers) |
2009 |
DBLP BibTeX RDF |
|
| 1 | Salih Tuna, Mahesan Niranjan |
Cross-Platform Analysis with Binarized Gene Expression Data. |
PRIB |
2009 |
DBLP DOI BibTeX RDF |
Cross-platform analysis, binary gene expression, classification |
| 1 | Visakan Kadirkamanathan, Guido Sanguinetti, Mark A. Girolami, Mahesan Niranjan, Josselin Noirel (eds.) |
Pattern Recognition in Bioinformatics, 4th IAPR International Conference, PRIB 2009, Sheffield, UK, September 7-9, 2009. Proceedings |
PRIB |
2009 |
DBLP DOI BibTeX RDF |
|
| 1 | Bassam Farran, Amirthalingam Ramanan, Mahesan Niranjan |
Sequential Hierarchical Pattern Clustering. |
PRIB |
2009 |
DBLP DOI BibTeX RDF |
On-line clustering, Hierarchical clustering, Gene expression, Large scale data |
| 1 | Renata da Silva Camargo, Mahesan Niranjan |
Mining Protein Database using Machine Learning Techniques. |
J. Integrative Bioinformatics |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Sujimarn Suwannaroj, Mahesan Niranjan |
Enhancing Automatic Construction of Gene Subnetworks by Integrating Multiple Sources of Information. |
Signal Processing Systems |
2008 |
DBLP DOI BibTeX RDF |
bioinformatics, microarray analysis, literature mining |
| 1 | Yang Zhang, HongYu Li, Mahesan Niranjan, Peter Rockett |
Applying Cost-Sensitive Multiobjective Genetic Programming to Feature Extraction for Spam E-mail Filtering. |
EuroGP |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Anastasia Samsonova, Mahesan Niranjan, Steven Russell, Alvis Brazma |
Prediction of Gene Expression in Embryonic Structures of Drosophila melanogaster. |
PLoS Computational Biology |
2007 |
DBLP DOI BibTeX RDF |
|
| 1 | Joab Winkler, Mahesan Niranjan, Neil D. Lawrence (eds.) |
Deterministic and Statistical Methods in Machine Learning, First International Workshop, Sheffield, UK, September 7-10, 2004, Revised Lectures |
Deterministic and Statistical Methods in Machine Learning |
2005 |
DBLP BibTeX RDF |
|
| 1 | Neil D. Lawrence, Marta Milo, Mahesan Niranjan, Penny Rashbass, Stephan Soullier |
Reducing the variability in cDNA microarray image processing by Bayesian inference. |
Bioinformatics |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Si Wu, Danmei Chen, Mahesan Niranjan, Shun-ichi Amari |
Sequential Bayesian Decoding with a Population of Neurons. |
Neural Computation |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Gaafar M. K. Saleh, Mahesan Niranjan |
Speech enhancement using a Bayesian evidence approach. |
Computer Speech & Language |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Konstantinos Koumpis, Steve Renals, Mahesan Niranjan |
Extractive summarization of voicemail using lexical and prosodic feature subset selection. |
INTERSPEECH |
2001 |
DBLP BibTeX RDF |
|
| 1 | João F. G. de Freitas, Mahesan Niranjan, Andrew H. Gee |
Hierarchical Bayesian Models for Regularization in Sequential Learning. |
Neural Computation |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | João F. G. de Freitas, Mahesan Niranjan, Andrew H. Gee, Arnaud Doucet |
Sequential Monte Carlo Methods to Train Neural Network Models. |
Neural Computation |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | João F. G. de Freitas, Mahesan Niranjan, Andrew H. Gee |
Dynamic Learning with the EM Algorithm for Neural Networks. |
VLSI Signal Processing |
2000 |
DBLP DOI BibTeX RDF |
|
| 1 | Nathan Smith, Mahesan Niranjan |
Data-dependent kernels in svm classification of speech patterns. |
INTERSPEECH |
2000 |
DBLP BibTeX RDF |
|
| 1 | Klaus Reinhard, Mahesan Niranjan |
Diphone subspace models for phone-based HMM complementation. |
EUROSPEECH |
1999 |
DBLP BibTeX RDF |
|
| 1 | Gavin Smith, João F. G. de Freitas, Tony Robinson, Mahesan Niranjan |
Speech Modelling Using Subspace and EM Techniques. |
NIPS |
1999 |
DBLP BibTeX RDF |
|
| 1 | D. R. Lovell, Christopher R. Dance, Mahesan Niranjan, Richard W. Prager, Kevin J. Dalton, R. Derom |
Feature selection using expected attainable discrimination. |
Pattern Recognition Letters |
1998 |
DBLP DOI BibTeX RDF |
|
| 1 | Martin J. J. Scott, Mahesan Niranjan, Richard W. Prager |
Realisable Classifiers: Improving Operating Performance on Variable Cost Problems. |
BMVC |
1998 |
DBLP BibTeX RDF |
|
| 1 | João F. G. de Freitas, Sue E. Johnson, Mahesan Niranjan, Andrew H. Gee |
Global optimisation of neural network models via sequential sampling-importance resampling. |
ICSLP |
1998 |
DBLP BibTeX RDF |
|
| 1 | João F. G. de Freitas, Mahesan Niranjan, Arnaud Doucet, Andrew H. Gee |
Global Optimisation of Neural Network Models via Sequential Sampling. |
NIPS |
1998 |
DBLP BibTeX RDF |
|
| 1 | Sean B. Holden, Mahesan Niranjan |
Average-Case Learning Curves for Radial Basis Function Networks. |
Neural Computation |
1997 |
DBLP DOI BibTeX RDF |
|
| 1 | João F. G. de Freitas, Mahesan Niranjan, Andrew H. Gee |
Regularisation in Sequential Learning Algorithms. |
NIPS |
1997 |
DBLP BibTeX RDF |
|
| 1 | Mahesan Niranjan |
Sequential Tracking in Pricing Financial Options using Model Based and Neural Network Approaches. |
NIPS |
1996 |
DBLP BibTeX RDF |
|
| 1 | Sean B. Holden, Mahesan Niranjan |
On the practical applicability of VC dimension bounds. |
Neural Computation |
1995 |
DBLP DOI BibTeX RDF |
|
| 1 | Sean B. Holden, Mahesan Niranjan |
On the statistical physics of radial basis function networks. |
Neural Processing Letters |
1995 |
DBLP DOI BibTeX RDF |
|
| 1 | Gaafar M. K. Saleh, Mahesan Niranjan, W. J. Fitzgerald |
The use of maximum a posteriori parameters in linear prediction of speech. |
EUROSPEECH |
1995 |
DBLP BibTeX RDF |
|
| 1 | Lizhong Wu, Mahesan Niranjan, Frank Fallside |
Fully vector-quantized neural network-based code-excited nonlinear predictive speech coding. |
IEEE Transactions on Speech and Audio Processing |
1994 |
DBLP DOI BibTeX RDF |
|
| 1 | Visakan Kadirkamanathan, Mahesan Niranjan |
A Function Estimation Approach to Sequential Learning with Neural Networks. |
Neural Computation |
1993 |
DBLP DOI BibTeX RDF |
|
| 1 | Mahesan Niranjan, Frank Fallside |
Speech Feature Extraction Using Neural Networks. |
EURASIP Workshop |
1990 |
DBLP DOI BibTeX RDF |
|
| 1 | Visakan Kadirkamanathan, Mahesan Niranjan, Frank Fallside |
Sequential Adaptation of Radial Basis Function Networks. |
NIPS |
1990 |
DBLP BibTeX RDF |
|
| 1 | Mahesan Niranjan, Frank Fallside |
On modelling the dynamics of speech patterns. |
ECST |
1987 |
DBLP BibTeX RDF |
|
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