Arunava Banerjee, Ph.D.

Arunava Banerjee, Ph.D.

Associate Professor

Primary Research Area

Machine Learning

Research Areas

Computational Neuroscience, Machine Learning

Education

Ph.D., Rutgers University, 2001

Research Interests

Computational Neuroscience, Machine Learning, Computer Vision, Operational Research

Publications

Ramaswamy V., Banerjee A. (2014) Connectomic Constraints on Computation in Feedforward Networks of Spiking NeuronsJournal of Computational Neuroscience.

Rajwade A., Rangarajan A., Banerjee A. (2013) Image Denoising using the Higher Order Singular Value DecompositionIEEE Transactions on Pattern Analysis and Machine Intelligence, 35(4), pp. 849-862.

Alptekinoglu A., Banerjee A., Paul A. A., Jain N. (2013) Inventory Pooling to Deliver Differentiated ServiceManufacturing and Service Operations Management 15(1), pp. 33-44.

Kumar R., Banerjee A., Vemuri B. C., Pfister H. (2012) Trainable Convolution Filters and their Application to Face RecognitionIEEE Transactions on Pattern Analysis and Machine Intelligence, 34(7), pp. 1423-1436.

VanderKraats N. D., Banerjee A. (2011) A Finite-Sample, Distribution-Free, Probabilistic Lower Bound on Mutual InformationNeural Computation, 23(7), pp. 1862-1898.

Kumar R., Barmpoutis A., Banerjee A., Vemuri B. C. (2011) Non-Lambertian Reflectance Modeling and Shape Recovery of Faces using Tensor SplinesIEEE Transactions on Pattern Analysis and Machine Intelligence, 33(3), pp. 553-567.

Gurumoorthy K. S., Rajwade A., Banerjee A., Rangarajan A. (2010) A Method for Compact Image Representation using Sparse Matrix and Tensor Projections onto Exemplar Orthonormal BasesIEEE Transactions on Image Processing, 19(2), pp. 322-334.

Rajwade, A., Banerjee, A., Rangarajan, A. (2008) Probability Density Estimation using Isocontours and Isosurfaces: Application to Information Theoretic Image Registration. IEEE Transactions on Pattern Analysis and Machine Intelligence, 31(3), pp. 475-491.

Banerjee A., Series P., Pouget A. (2007) Dynamical Constraints on using Precise Spike Timing to Compute in Recurrent Cortical Networks. Neural Computation, 20(4), pp. 974-993.

Banerjee A. (2006) On the Sensitive Dependence on Initial Conditions of the Dynamics of Networks of Spiking Neurons. Journal of Computational Neuroscience, 20(3), pp. 321-348.

Contact Information

Telephone: 352-294-6641

Fax: 352-392-1220

Email: arunava@cise.ufl.edu

Website: https://www.cise.ufl.edu/~arunava/

Office: E336 CSE

Mailing Address:

University of Florida
E301 CSE Building
P.O. Box 116120
Gainesville, Florida 32611-6120