Somak Raychaudhury

According to our database1, Somak Raychaudhury authored at least 17 papers between 2004 and 2016.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2016
Probabilistic Modelling for Delay Estimation in Gravitationally Lensed Photon Streams.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2016, 2016

2013
Incorporating Privileged Information Through Metric Learning.
IEEE Trans. Neural Networks Learn. Syst., 2013

2012
Computational Intelligence in Astronomy - A Win-Win Situation.
Proceedings of the Theory and Practice of Natural Computing, 2012

Learning Using Privileged Information in Prototype Based Models.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2010
Uncovering delayed patterns in noisy and irregularly sampled time series: An astronomy application.
Pattern Recognit., 2010

2009
Fast parzen window density estimator.
Proceedings of the International Joint Conference on Neural Networks, 2009

Topographic Mapping of Astronomical Light Curves via a Physically Inspired Probabilistic Model.
Proceedings of the Artificial Neural Networks, 2009

Estimating Time Delay in Gravitationally Lensed Fluxes.
Proceedings of the Similarity-based learning on structures, 15.02. - 20.02.2009, 2009

2008
Bayesian estimation of time delays between unevenly sampled signals.
Neurocomputing, 2008

2007
Robust Visual Mining of Data with Error Information.
Proceedings of the Knowledge Discovery in Databases: PKDD 2007, 2007

Robust mixtures in the presence of measurement errors.
Proceedings of the Machine Learning, 2007

2006
How accurate are the time delay estimates in gravitational lensing?
CoRR, 2006

A Kernel-Based Approach to Estimating Phase Shifts Between Irregularly Sampled Time Series: An Application to Gravitational Lenses.
Proceedings of the Machine Learning: ECML 2006, 2006

On Class Visualisation for High Dimensional Data: Exploring Scientific Data Sets.
Proceedings of the Discovery Science, 9th International Conference, 2006

2005
Mapping the Physical Properties of Cosmic Hot Gas with Hyper-Spectral Imaging.
Proceedings of the 7th IEEE Workshop on Applications of Computer Vision / IEEE Workshop on Motion and Video Computing (WACV/MOTION 2005), 2005

Finding Young Stellar Populations in Elliptical Galaxies from Independent Components of Optical Spectra.
Proceedings of the 2005 SIAM International Conference on Data Mining, 2005

2004
An Evolutionary Approach to Modeling Radial Brightness Distributions in Elliptical Galaxies.
Proceedings of the Parallel Problem Solving from Nature, 2004


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